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Job Description:

This role is ideal for AI freshers who are curious about how artificial intelligence can power real-world brand storytelling, digital campaigns, and audience engagement. You'll work alongside PR, content, and digital teams to help analyze trends, automate processes, optimize campaigns, and bring data-driven intelligence to communications.

Key Responsibilities:

• Use AI tools and basic models to analyze media trends, audience behavior, and campaign performance.
• Assist in creating automated dashboards for PR coverage, sentiment analysis, or social listening.
• Support digital marketing teams with campaign insights using data analysis or AI-powered tools.
• Research and suggest ways AI/ML can streamline PR, branding, influencer outreach, and content strategies.
• Help train and fine-tune internal AI tools or models. (e.g., for writing assistance, data categorization, etc.)
• Collaborate with content teams to apply NLP tools for content structuring or analysis.
• Work with SEO, ORM, and digital ad teams to analyze customer journeys and conversion patterns.

What You'll Gain:

• Hands-on exposure to applying AI in a creative, fast-paced marketing and PR environment.
• Opportunity to be part of live campaigns for top brands across healthcare, tech, manufacturing, and more.
• Mentorship from senior professionals in both AI/data and marketing/communications.
• A strong foundation in how AI is reshaping storytelling, digital engagement, and brand communication.

Job Description:

• Programming Languages: Java/Python
• Machine Learning Frameworks: Scikit-learn, TensorFlow, Keras, or PyTorch (any).
• Fundamentals: Good understanding of supervised/unsupervised learning, regression, classification, and clustering.
• Mathematics & Statistics: Basic knowledge of linear algebra, probability, and statistics.
• Data Handling: Ability to work with CSV, JSON, and database queries (SQL basics).
• Tools: Git/GitHub, Jenkins, Bigbucket
• Cloud Platforms: AWS, Azure, or GCP.
• Soft Skills: Strong problem-solving ability, eagerness to learn, and good communication skills.

Job details:

• Qualification: BTech
• Passout Year: 2024, 2025
• Job Location: Kondapur, Hyderabad(WFO)
• Salary: 2.4lpa -3lpa
• Note: Only candidates who are interested for Direct Interview Pl apply.

Job Requirements:

• Strong foundation in data science concepts and methods.
• Proficiency in Python for data analysis and developing AI systems.
• Experience with SQL for querying and managing relational databases.
• Understanding of Generative AI concepts and practical prompt engineering techniques (creating and optimizing AI prompts for model performance).
• Familiarity with Generative AI concepts and techniques (such as Large Language Models and Prompt Engineering).

Key Skills and Qualifications:

• Exposure to Generative AI and machine learning concepts and their real-world applications.
• Familiarity with LangChain
• Help configure and implement generative AI systems, specifically in the context of large language models (LLMs) and RAG.
• Basic knowledge of cloud technologies and their role in AI solution deployment.
• Exposure to GitHub and development practices for cloud-based applications.

Preferred skills:

• Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.

Preferred Qualifications:

• Universities: IIT, NIT, MIT, and other well-known universities.

Additional Information:

• Position: 10
• Budget: 5 LPA to 7 LPA
• Note: Chennai - Work from Office - Hybrid

Job Description:

KPR College of Arts, Science, and Research is seeking an experienced and passionate faculty Member with expertise in Data Science, Data Analytics, and AI/ML to join our academic team. The ideal candidate will have a minimum of 3 years’ experience as a trainer or educator in the relevant domains, and a strong desire to mentor and shape the future of students in emerging technologies.

Key Responsibilities:

• Deliver engaging lectures, practical sessions, and workshops in Python, Data Science, AI, and Machine Learning.
• Design and update course materials, lab exercises, and assessments based on current industry trends and curriculum standards.
• Guide students in hands-on projects, research activities, and real-time case studies.
• Provide mentorship and academic support to students throughout the learning cycle.
• Collaborate with department staff on curriculum development and enhancement.
• Participate in seminars, faculty development programs, and departmental activities.

Required Skills & Qualifications:

• Proven experience (minimum 3 years) as a Trainer / Faculty / Instructor in Data Science, Python Programming, Data Analytics, or AI & ML.
• Proficiency in tools and frameworks such as Python, Pandas, NumPy, Scikit-learn, Jupyter Notebooks, etc.
• Strong communication and classroom management skills.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field (Ph.D. preferred for senior roles).
• A passion for teaching and a commitment to student success.

Role Overview

We are seeking a visionary and hands-on AI Lead – Generative AI to architect and scale cutting-edge AI solutions across the LinkCxO ecosystem. You’ll lead initiatives involving LLMs, RAG pipelines, multimodal models, and more, shaping how AI drives user engagement, personalization, and discovery. This is a highly collaborative role where you’ll work closely with the Founders, Product, and Engineering teams to embed intelligence into the core of a fast-growing platform designed for India’s senior leadership.

Key Responsibilities

Strategy & Leadership:

• Define and execute the Generative AI roadmap aligned with business goals
• Build and lead a team of ML engineers, data scientists, and AI researchers
• Partner with Product, Design, and Tech teams for scalable AI integration  

Technical Execution:

• Develop, fine-tune, and deploy generative AI models (LLMs, Transformers, DiUusion, RAG)
• Optimize model performance, latency, and cost in production environments  
• Implement MLOps pipelines for training, deployment, monitoring, and iteration  

Research & Innovation:

• Stay updated with cutting-edge developments in generative and multimodal AI 
• Experiment with open-source and proprietary models; contribute to patents/publications
• Integrate foundation models via APIs (e.g., OpenAI, Hugging Face, Anthropic) or custom setups

Governance & Ethics:

• Ensure AI systems are built with fairness, explainability, and ethical best practices
• Maintain compliance with data privacy laws and responsible AI principles

Required Skills & Qualifications

• Master’s or Ph.D. in Computer Science, AI/ML, Mathematics, or related discipline
• Strong understanding of Transformers, GANs, VAEs, DiUusion Models
• Proficient with PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI APIs
• Proven experience in training or fine-tuning large-scale LLMs or foundation models
• Hands-on MLOps experience in model deployment and scaling
• Strong problem-solving skills and product-oriented mindset

Preferred Qualifications

• Experience with Retrieval-Augmented Generation (RAG) or agent-based systems
• Familiarity with cloud platforms (AWS, GCP, Azure) and distributed architectures
• Contributions to open-source projects or AI research communities

Additional Information:

Engagement Type: Full-Time

Experience Required: 4–6 Years

Department: Artificial Intelligence

Job Description:

• Mediocre won’t work here. If numbers, Excel, and data overwhelm you—this role isn’t for you.
• But if you take charge, spot insights fast, and don’t wait to be told what to do—we want you.
• We value deep focus, clean execution, and smart problem-solving. If fixing things and making data-driven moves is your thing, you’ll fit right in.
• No hand-holding. Just ownership, impact, and growth.
• If that excites you—not scares you—apply. We’re here to win.

What You'll Do:

• Take full ownership of Amazon PPC campaigns for multiple international clients.
• Analyze campaign data to extract insights and improve performance.
• Optimize campaigns through manual and bulk operations.
• Conduct keyword research and competitor analysis.
• Track daily KPIs and work with Strategists to meet performance targets.

What You Must Bring:

• Advanced Excel/Google Sheets skills – not just filters and formulas, but strong with data handling, pivots, and reporting.
• Fast learning ability and a strong grasp of digital marketing concepts.
• Fast Laptop & Internet - SSD Hard Drive, At least 4 GB RAM or above.
• Strong analytical and numerical skills – you must love working with data.
• Critical thinking – ability to spot problems, think logically, and solve them.
• Good spoken and written English.
• Familiarity with remote tools and culture (Slack, Google Workspace, etc.)

Bonus if You Have:

• Prior experience managing Amazon PPC campaigns
• Agency experience with international clients
• Knowledge of other Paid advertising platforms (PPC Experience)

Our Culture:

• We’re serious about performance but even more serious about people. We value autonomy, initiative, and building a happy, high-impact team.
• If this sounds like your kind of challenge—and you know your way around Data and Excel—apply now.
• If not, no hard feelings, but this may not be the right fit.

Benefits:

• Competitive salary & Health Insurance.
• Working on exciting cutting-edge Digital technology to manage Ads.
• Access to top training and Digital resources.
• Being part of a small team with a working culture that embraces autonomy and initiative taking.
• Freedom and flexibility. We are a 100% distributed team working from various regions. Our team members can work from wherever they want, as long as they deliver and are available during the Work Hours.

Additional Information:

• Job Type: Full-time
• Salary: 25,000.00 - 40,000.00 per month
• Schedule: Day Shift
• Supplemental Pay:  Performance bonus,  Yearly bonus

Benefits:

• Health Insurance
• Paid Time Off
• Work from Home

Key Responsibilities:

• Design, develop, and maintain backend components using Python and Django.
• Develop and integrate RESTful APIs for internal and external use.
• Write efficient, optimized SQL queries and manage relational databases (e.g., PostgreSQL, MySQL).
• Collaborate with front-end developers to integrate user-facing elements.
• Write clean, scalable, and well-documented code following best practices.

Required Skills and Qualifications:

• Strong proficiency in Python.
• Experience with the Django web framework.
• Solid understanding of RESTful API design and integration.
• Proficiency in SQL and experience with relational databases like PostgreSQL, MySQL, or SQLite.
• Familiarity with version control systems like Git.
• Basic knowledge of HTML, CSS, JavaScript (optional but helpful).
• Experience with containerization tools (e.g., Docker) is a plus.
• Good problem-solving skills and attention to detail.
• Strong communication and teamwork skills.

About Company - Mirafra Technologies:

• Mirafra, is a Product Engineering Service company that provides technology solutions and was founded in 2004 by Alok Kumar (CEO) and Shyam Padala (MD). Both are semiconductor industry veterans.
• With 1500+ strength we are one of the fast-growing technology companies in India in Embedded, DTS, Application & Semiconductor space and ranked amongst the top 2 Semiconductor design service company in India.
• All our clients which we work with are fortune 500 companies and we are partner with 8 out of top 12 semiconductor companies across globe like Intel, Google, QC, Samsung, AMD, Broadcom, Cisco to name a few.
• We spread across 11 different industries including (Semiconductor / Medical Devices / Healthcare / Automobiles / Telcom / Networking, Industrial Automation etc).
• Mirafra is also featured as the Top 20 Most Promising Electronic Design Service Company by Silicon India.
• We also featured in the "Top 10 Admired Companies – 2022" for cutting edge software services, by DigiTech Insight, 2022 May.
• Mirafra also featured as Best Companies to Work for by Silicon India.
• We are present globally having offices in India, South East Asia, Europe, and USA.
• In India we are headquartered in Bangalore and have branch across in Hyderabad/Chennai/Pune.

Required Experience: 3+ years

Job Description:

We are looking for a Junior Data Engineer/ Analyst who is passionate about data, eager to learn, and has a strong foundation in Python and its data-related libraries. In this role, you will assist in designing, building, and maintaining data pipelines that power AI and machine learning solutions. If you enjoy working with data, acquiring it from various sources, cleaning, and transforming it this could be the perfect opportunity to grow your career in data engineering.

Key Responsibilities:

Data Scraping & Extraction:

• Implement automated web scraping solutions using Python libraries such as requests, BeautifulSoup, or Selenium.
• Acquire data from APIs, databases, and other third-party sources while adhering to compliance and ethical guidelines.

Data Cleaning & Preprocessing:

• Use Python libraries like Pandas and NumPy to process, clean, and transform raw data into usable formats.
• Handle missing data, outliers, duplicates, and other data irregularities.
• Integrate data from various sources, ensuring consistency and quality throughout the pipeline.

Performance Monitoring & Optimization:

• Participate in monitoring the reliability and efficiency of data pipelines.
• Identify bottlenecks and propose improvements to enhance pipeline performance and scalability.

Requirements & Skills:

• Bachelors degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience).
• Proficiency in Python and key data libraries (e.g., Pandas, NumPy, requests, BeautifulSoup, Selenium).
• Familiarity with version control (Git) and fundamental data structures/algorithms.

Optional Skills (Added Advantage):

• Exposure to big data tools (Spark, Hadoop).
• Experience with cloud platforms (AWS, Azure, GCP) for data storage and processing.
• Basic familiarity with machine learning libraries (scikit-learn, TensorFlow, PyTorch).
• Understanding of containerization tools (Docker, Kubernetes).

Job Description:

Blubridge is seeking passionate and talented freshers to join our Al research team. As an Al Research Engineer, you will work on developing innovative Al solutions, contribute to research projects, and write clean, efficient Python code to solve real-world problems. This role is ideal for freshers who have a strong foundation in Python and a passion for Al research. In this position, you will work with open-source models like DeepSeek R1 and Ollama to train, fine-tune, and explore their potential, enabling you to drive our research forward and contribute to groundbreaking Al projects.

Key Responsibilities:

• Develop and implement Python-based algorithms for data processing and machine learning applications.
• Collaborate with senior researchers to design, prototype, and test new AI models and methodologies.
• Work with open-source models like DeepSeek R1, Ollama to train, fine-tune, and explore their potential.
• Analyze large datasets using Python libraries such as NumPy, and pandas to extract insights and support model development.
• Write clean, efficient, and well-documented code following best practices; participate in code reviews and debugging sessions.
• Conduct experiments to test hypotheses, evaluate model performance, and iterate on solutions quickly.
• Gain hands-on experience by working directly on advanced hardware and server systems like H200, RTX6000 Ada etc.
• Stay updated with the latest advancements in Al research and contribute to internal knowledge-sharing sessions.

Required Skills and Oualifications:

• Bachelor's or Master's degree in Computer Science, Electronics and Communication, Mathematics & Data science.
• Strong proficiency in Python with a solid understanding of data structures, algorithms, and object-oriented programming.
• Familiarity with Python libraries such as NumPy, pandas, and scikit-learn; basic exposure to machine learning concepts is a plus.
• Excellent problem-solving skills and attention to detail.
• Good written and verbal communication skills and ability to work collaboratively in a team.

Desired Skills (Optional):

• Experience with deep learning frameworks such as TensorFlow or PyTorch.
• Exposure to projects involving natural language processing, computer vision, or reinforcement learning.

What We Offer:

• A dynamic and innovative work environment in a cutting-edge AI research team.
• Opportunities for professional growth, mentorship, and learning.
• Competitive salary and benefits.
• Hands-on access to state-of-the-art hardware and server systems, such as H200 and RTX6000 Ada. Access to the latest tools and technologies in AI.

About Industree Foundation

Established in 2000, Industree Foundation holistically tackles the root causes of poverty by creating an ownership-based, organized creative manufacturing ecosystem for micro-entrepreneurs. Industree works with a vision to co-create an ecosystem with farmers, artisans and stakeholders, creating a new way of building sustainable enterprises and work culture. Industree Foundation’s comprehensive approach helps communities assess their traditional skill base, organize them into production units, develop products that appeal to modern markets, and create consistent demand to create sustainable businesses at the lowest possible costs.

Our approach has tripled the incomes of artisans in non-farm occupations by leveraging their artisanal skills and integrating them into the creative industries sector. The Foundation believes that if the poor have access to sustained and consistent demand for their products and services and are provided with an enabling ecosystem, they can integrate into the formal economy and lift themselves out of poverty. We have reached 80,000 women artisans across India and Africa, through collaborative efforts with organizations like The Future group, IKEA, The Commonwealth Secretariat, Grassroots Business Fund, and National Skill Development Corporation. You can read more about its work on www.industree.org.in.

Job Description:

• The MIS executive will support the Monitoring and Evaluation function, projects and operations team by providing timely and accurate data for the decision-making process.
• As an MIS Executive with expertise in advanced Excel, macros and Data Analysis, you will be responsible for aggregating and managing data from different value chains, projects and donor wise.
• The role involves working with database management system, performing detailed data quality checks, addressing field level data issues in collaboration with MBT coordinators/ CS/ Assistant Manager, pre-processing and preparing data analysis ready, ensuring the accuracy, consistency, integrity and security of the data.
• Strong analytical, and technical skills are required.
• Take on ad hoc tasks and special assignments delegated by the reporting manager

Roles and responsibilities:

Data Aggregation & Management:

• Aggregate, compile, organise and maintain an up-to-date data into the centralized data repositories, ensuring the timely availability, quality, accuracy, and relevant data across various departments, projects and value chains within the organization.
• Ensure data meets donor guidelines and standards, maintaining consistency and clarity.
• Understand and make yourself aware of all survey questionnaire and Coordinate with projects and operations team to understand data requirements as per the project objectives and deliverables.
• Maintain databases, spreadsheets, and other data repositories.

Quality Control and Data Validation:

• Perform detailed data quality checks (refer to the Data quality, pre-processing, data preparation Standard operating procedure) regularly to ensure consistency, accuracy and reliability of the data.
• Identify and rectify the errors and discrepancies in the data through rigorous validation processes.
• Regular updates, backups, and data quality checks.

Technical Support:

• Automate repetitive data tasks through advanced Excel functionalities, macros and other relevant data processing tech.
• Assist in maintaining databases and performing data audits to Data Analyst and M&E Function.

Tech Support to the team:

• Provide technical support to field team on data collection tools (UGAO APP), and methodologies.
• Provide regular training and orientation to team members on data entry.

Coordination and Communication:

• Work closely with operations and field teams to address and resolve data related issues.
• Connect every week/daily with field team/MBT Coordinators/CS to address the data errors and to obtain up-to-date data on priority.
• Communicate clearly and effectively with field, operations and M&E team regularly to discuss challenges faced and solutions provided.

Skills:

• Strong analytical skills, Problem-solving attitude and the ability to think critically.
• Ability to manage multiple tasks and prioritize effectively.
• Attention to detail and accuracy in data handling.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Experience with database management and data analysis tools.
• Behavioral Skills Set.
• Should be able to communicate clearly across all the teams throughout the projects.
• Should be a good team player and a quick learner with an aptitude to pick up things fast.
• Must be dynamic with a strong sense of responsibility, accountability and positive attitude.

Qualifications and Experience:

• Bachelor's degree in information technology, Computer Science, or a related field with 2 years of experience. OR
• Proven experience as an Data analyst or similar role.
• Expert proficiency in Advanced Excel, including pivot tables, VLOOKUP, HLOOKUP, and macros. with experience in data management and data cleansing techniques.

Language(s):

• Proficiency in English, and Hindi with excellent written and verbal communication skills.
• Knowledge of at least one regional language is desirable, especially for field visits and local stakeholder engagement.

About Industree Foundation

Established in 2000, Industree Foundation holistically tackles the root causes of poverty by creating an ownership-based, organized creative manufacturing ecosystem for micro-entrepreneurs. Industree works with a vision to co-create an ecosystem with farmers, artisans and stakeholders, creating a new way of building sustainable enterprises and work culture. Industree Foundation’s comprehensive approach helps communities assess their traditional skill base, organize them into production units, develop products that appeal to modern markets, and create consistent demand to create sustainable businesses at the lowest possible costs.

Our approach has tripled the incomes of artisans in non-farm occupations by leveraging their artisanal skills and integrating them into the creative industries sector. The Foundation believes that if the poor have access to sustained and consistent demand for their products and services and are provided with an enabling ecosystem, they can integrate into the formal economy and lift themselves out of poverty. We have reached 80,000 women artisans across India and Africa, through collaborative efforts with organizations like The Future group, IKEA, The Commonwealth Secretariat, Grassroots Business Fund, and National Skill Development Corporation. You can read more about its work on www.industree.org.in.

Job Description:

• The Data Analyst will support the Monitoring and Evaluation function, projects and operations team by providing timely and accurate data for the decision-making process.
• As an Data Analyst Executive with expertise in advanced Excel, macros and Data Analysis, you will be responsible for aggregating and managing data from different value chains, projects and donor wise.
• The role involves working with database management system, performing detailed data quality checks, data analysis, ensuring the accuracy, consistency, integrity and security of the data.
• Strong analytical, and technical skills are required.
• Take on ad hoc tasks and special assignments delegated by the reporting manager,

Roles and responsibilities:

Data Aggregation & Management

Aggregate, compile, organise and maintain an up-to-date data into the centralized data repositories, ensuring the timely availability, quality, accuracy, and relevant data across various departments, projects and value chains within the organization.

• Ensure data meets donor guidelines and standards, maintaining consistency and clarity.
• Understand and make yourself aware of all survey questionnaire and Coordinate with projects and operations team to understand data requirements as per the project objectives and deliverables.
• Maintain databases, spreadsheets, and other data repositories.

Quality Control and Data Validation:

• Perform detailed data quality checks (refer to the Data quality, pre-processing, data preparation Standard operating procedure) regularly to ensure consistency, accuracy and reliability of the data.
• Identify and rectify the errors and discrepancies in the data through rigorous validation processes.
• Regular updates, backups, and data quality checks.

Technical Support:

• Automate repetitive data tasks through advanced Excel functionalities, macros and other relevant data processing tools/tech.
• Assist in maintaining databases and performing data audits.
• Develop and trouble shoot advance excel formulas and pivot tables for analytics.

Coordination and Communication:

• Work closely with MIS, operations and field teams to address and resolve data related issues.
• Communicate clearly and effectively with field, operations and M&E team regularly to discuss challenges faced and solutions provided.

Data Analysis:

• Prepare data analysis of baseline, midline, endline, and pre-post assessment.
• Create an easy-to-understand summary/Dashboard for various teams/projects.

Skills:

• Strong analytical skills, Problem-solving attitude and the ability to think critically.
• Ability to manage multiple tasks and prioritize effectively.
•  Attention to detail and accuracy in data handling.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Experience with database management and data analysis tools.
• Behavioral Skills Set.
• Should be able to communicate clearly across all the teams throughout the projects.
• Should be a good team player and a quick learner with an aptitude to pick up things fast.
• Must be dynamic with a strong sense of responsibility, accountability and positive attitude.

Qualifications and Experience:

• Bachelor’s degree in information technology, Computer Science, or a related field with 2 years of experience. OR
• Proven experience as an Data analyst or similar role.
• Expert proficiency in Advanced Excel, including pivot tables, VLOOKUP, HLOOKUP, and macros. with experience in data management and data cleansing techniques.

Language(s):

• Proficiency in English, and Hindi with excellent written and verbal communication skills.
• Knowledge of at least one regional language is desirable, especially for field visits and local stakeholder engagement.

Job Description:

ICS is looking to add Data Management to our growing team. We are looking for a Data Management team for our Hyderabad Global Shared Services Office. We seek a highly motivated and detail-oriented individual to join our team as a Data Management. This position is ideal for recent graduates with a background in Data Management who are looking to kickstart their careers in a dynamic and collaborative work environment.

Responsibilities:

• Prompt handling of all customer service requests, including but not limited to quote requests, technical product information, application questions, and customer contract resolutions.
• Follow up on quotes and projects to drive sales and derive market intelligence.
• Ensure timely responses to customers.
• Work with order entry, manufacturing, and shipping to resolve questions on orders, including but not limited to pricing, lead times, freight, payment terms, and part numbers.
• Prepare and send daily and monthly reports to clients.
• Work with team members to meet customers’ needs.

Knowledge, Skills, and Abilities:

• Work independently with attention to detail and provide accurate information.
• Proficient in Microsoft Excel and Word.
• Knowledge of Power BI is a plus.
• Strong typing speed and effective communication.
• Open to candidates from any degree background.

Key Skills Required:

• MS-Excel
• MS-Word
• Power BI

Salary:

• Salary: 13,000 (as stipend)
• Travel Allowances: Provided for client shift

Work Commitment:

Commitment: 1 year (excluding training period)- Bond to be signed

Joining Requirements:

If placed on the joining day, candidates must submit:

• Original 10th standard long memo.
• One leaf in the name of the company.
• This role is only for Male Candidates.

Job Description:

This role requires a strategic mindset, strong analytical skills, and the ability to collaborate across departments.

Key responsibilities include:

• Managing incentive programs while ensuring compliance with company policies and relevant regulations.
• Handling large datasets with precision and efficiency.
• Utilizing Advanced Excel for data analysis and performance metrics. Preference will be provided to resources who have experience in Power BI / Python / SQL.

Job Description:

We are hiring a Machine Learning Intern to support the development and implementation of machine learning models in AI-driven automation products. This role provides hands-on experience with modern ML techniques and the opportunity to collaborate with experienced engineers and researchers.

Responsibilities:

• Develop and implement ML algorithms using Python libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Prototype and experiment with advanced techniques (e.g., transformers, generative models).
• Integrate ML models into existing AI products and workflows.
• Use version control (Git) for collaborative development and code management.
• Participate in code reviews and help maintain high-quality code standards.
• Work closely with senior engineers and researchers on various project tasks.

Requirements:

• Pursuing a degree in Computer Science, Data Science, or a related field.
• Familiarity with key Python ML libraries (e.g., NumPy, Pandas, TensorFlow, PyTorch).
• Interest in modern ML concepts like transformers and generative models.
• Understanding of software development fundamentals, version control (Git), and APIs.
• Strong problem-solving skills and willingness to learn new tools/technologies.
• Effective communication and collaboration abilities.

Additional Information:

• Educational Background: Currently pursuing a degree in Computer Science, Data Science, or a related field.
• Work Location: Hyderabad (Work From Office)
• Internship Duration: 3 Months
• Domain: Innovation
• Salary: 20K - 30K/month (Depends on the interview feedback)

Job Description:

We are hiring a Machine Learning Operations Intern to assist in deploying, maintaining, and scaling ML models. This role offers hands-on experience with MLOps tools and practices, contributing to the development of AI-driven business automation solutions.

Responsibilities:

• Deploy and maintain scalable, production-grade ML models.
• Optimize model performance, availability, and scalability.
• Collaborate with engineering teams to integrate ML models into products.
• Enhance and upgrade ML model serving infrastructure.
• Improve MLOps workflows and automation practices.

Requirements:

• Understanding of ML model serving frameworks (e.g., TensorFlow Serving, TorchServe, BentoML).
• Familiarity with cloud ML platforms (e.g., Google Vertex AI, Azure ML).
• Basic knowledge of Docker and Kubernetes.
• Experience with version control systems (e.g., Git) and working with APIs.
• Strong problem-solving and communication skills.
• Currently pursuing a degree in Computer Science, Data Science, or a related field.

Additional Information:

• Educational Background: Currently pursuing a degree in Computer Science, Data Science, or a related field.
• Work Location: Hyderabad (Work From Office)
• Internship Duration: 3 Months
• Domain: Innovation, Engineering
• Salary: 20K - 30K/month (Depends on the interview feedback)

Job Description:

We are seeking a skilled Power BI Developer to design, develop, and maintain interactive dashboards and data models that deliver actionable insights. The role involves working with stakeholders to understand reporting needs, developing complex business logic, and ensuring timely report delivery. Proficiency in Power BI, SQL, and Azure-based reporting solutions is essential.

Responsibilities:

• The core purpose of a Power BI developer is to design, develop, and maintain effective and efficient Power BI solutions that enable organizations to visualize the data and extract insights.
• This includes setting up and maintaining new Power BI reports and self-service reporting data models.
• Set up new PBI reports, develop business reporting, analytics and automation of reports.
• Build sophisticated Self Service Reporting Data Models on Azure Analysis Service (SSAS).
• Work closely with stakeholders to provide business essential reporting.
• Test the reports for formatting and data correctness and publish for scheduled refreshes.
• Document the dashboard needs, the critical success factors of the business, related KPIs and measures in the dataset, and the designs.
• Ensure on time regular reporting deliverables for business continuity and operations.
• Work with business to understand the requirements, change requests.
• Build logic to build complex business requirements using Power BI and formulas.

Requirements:

• A degree in Computer Science / Information Technology.
• Fluent communication skills in English both written and verbal.
• Team Leader who can share experience with the team and grow them technically.
• High quantitative and cognitive ability to solve complex problem and think with a vision.

Qualifications, knowledge:

• 2 + years of experience with working in Power BI/Tableau/Excel Dashboards & Report Designing.
• Should have work experience in writing optimized SQL queries for Report Development.
• Experience with Microsoft Azure reporting infrastructure, systems and SSAS.
• Effective communication skills to understand business requirements.
• Should have ability to perform deliverables in designated business SLAs.
• Experience in building complex reporting logics in Power BI using formulas.
• Database and SQL experience, managing documentation and releases.

Job Description:

We are seeking a visionary Group AI/ML Architect to lead the design and governance of AI/ML solutions across Fortuna Entertainment Group. This strategic role is central to shaping our AI architecture, mentoring data science teams, and collaborating with business units to implement impactful, scalable machine learning solutions. You will work within a cross-functional, international Agile environment and play a key role in advancing FEG’s AI maturity.

Responsibilities:

• Design and lead the enterprise AI/ML architecture strategy and frameworks for FEG.
• Guide and supervise data science teams on model development, deployment, and performance optimization.
• Drive the end-to-end lifecycle of ML projects—from EDA to deployment and monitoring.
• Collaborate with product owners, business stakeholders, and BI teams to identify, refine, and prioritize AI/ML features and use cases.
• Increase organizational AI literacy, improve delivery processes, and lead discussions with stakeholders on technical and strategic direction.
• Promote best practices in model governance, data quality, and operationalization (MLOps).
• Serve as the AI/ML subject matter expert across all departments and countries within the organization.

Requirements:

Education & Experience

• Bachelor's or Master's degree in Computer Science, IT, Statistics, Economics, or related fields.
• Fluent English communication skills (written and verbal).
• 6+ years of experience in Data Science or Data Analytics.
• 5+ years of experience leading AI/ML and analytics initiatives in a data-driven organization.

Technical & Domain Expertise

• Proven leadership in managing data scientists, analysts, and MLOps engineers.
• Expertise in building ML models for personalization, recommendation, segmentation, regression, prediction.
• Strong knowledge of Python, PySpark, R, SQL, Excel, and statistics.
• Experience with NLP, GenAI, data modeling, and agile delivery frameworks.
• Proficiency in data visualization and communicating analytical insights through storytelling.

Soft Skills & Attributes

• Strategic mindset, strong problem-solving and critical thinking.
• Strong leadership, mentoring, and stakeholder engagement skills.
• Ability to work in a global, cross-functional, and agile environment.
• Committed to continuous learning and staying current with AI/ML advancements.

Job Description:

We are looking for an experienced Senior Data Engineer to lead the design, development, and optimization of our data infrastructure. This role requires hands-on expertise with Azure Synapse, Databricks, Python, and cloud data platforms. As part of a dynamic team, you will build scalable data pipelines and collaborate across departments to drive impactful data solutions in a modern cloud environment.

Responsibilities:

line Development

• Design and maintain complex ETL/ELT pipelines using Databricks and Azure Synapse.
• Optimize data workflows for performance, scalability, and cost-effectiveness.
• Ensure data governance, quality, and security compliance.

Cloud Platform Management

• Build and manage data infrastructure using Azure and other cloud-native services.
• Implement and manage CI/CD pipelines for automated data processing workflows.

Programming & Collaboration

• Develop reusable, high-quality Python and PySpark code within Databricks and Synapse.
• Work with data scientists and analysts to integrate analytical solutions into data workflows.
• Conduct code reviews and mentor junior engineers on Python, SQL, and cloud best practices.

Requirements:

• Bachelor's or Master’s degree in Computer Science, Information Systems, or related field.
• 5–8 years of experience in data engineering or related roles.
• At least 2 years of hands-on experience with Databricks, PySpark, and Azure Synapse.
• Strong command of Python programming, advanced SQL, and cloud-based data services (preferably Azure).
• Familiarity with CI/CD pipelines, data security, and automation in cloud environments.
• Experience with dbt (data build tool) is a plus.
• Excellent problem-solving, critical thinking, and team collaboration skills.

Job Description:

We are looking for a skilled and motivated Data Scientist to join our tech team at Fortuna Entertainment Group. You will play a critical role in building statistical and machine learning models to drive data-driven decisions across various business domains. This position requires strong analytical skills, experience with big data tools, and a proactive mindset to collaborate with cross-functional teams.

Responsibilities:

• Extract, clean, and preprocess data from Data Lakes and Data Warehouses using SQL, Python, or PySpark.
• Conduct exploratory data analysis (EDA) to uncover patterns, trends, and actionable insights.
• Build and enhance machine learning models focused on customer behavior, revenue forecasting, and campaign effectiveness.
• Collaborate with engineering, marketing, and product teams to understand data needs and deliver solutions.
• Contribute to MLOps framework development and model deployment on Microsoft Azure.
• Support and improve analytical models used by the data analytics team.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum 4 years of experience in data-related roles (Data Scientist, Data Analyst, Business Analyst).
• 3+ years of hands-on experience in programming, ML model development, and MLOps.
• Strong knowledge of Python, SQL, PySpark, and statistical methods.
• Experience with Microsoft Azure for ML deployment is a plus.
• Proven ability to work across multiple domains and translate business needs into data solutions.
• Excellent communication, critical thinking, and problem-solving skills.
• Fluent in English, both written and spoken.

Job Description:

We are looking for a highly motivated fresh graduate with a strong foundation in AI/ML to join our team as an intern. This role offers hands-on experience in developing and deploying an intelligent Sales Supervisor Agent system, with a focus on sales performance analysis, pattern recognition, and building recommendation systems to improve sales strategies.

Key Responsibilities:

1. Development:

• Design AI/ML-based pattern recognition systems for sales trend analysis.

• Build and optimize recommendation engines.

• Create real-time performance monitoring dashboards.

• Develop and integrate APIs for system communication.

2. Programming:

• Proficiency in Python.

• Experience with PyTorch or TensorFlow.

• Familiarity with FastAPI or Flask.

• Version control using Git.

3. AI/ML Knowledge:

• Basic understanding of LLMs, Transformers, RAG techniques.

• Foundation in NLP.

4. Data Skills:

• Strong SQL skills.

• Experience with Pandas, NumPy.

• Data preprocessing, cleaning, and visualization.

Good to Have:

• Pattern recognition / ML project experience.

• Time series analysis knowledge.

• Familiarity with Faiss, Pinecone.

• REST API experience.

• Exposure to AWS/Azure.

• Understanding of tools like Cursor_AI, Codegiantio, Vercel.

Qualifications:

• B.Tech/B.E. in Computer Science or related fields.

• Strong academic foundation in AI/ML.

• Fresh graduates or up to 1 year can Apply.

Key Personal Qualities:

• Analytical and problem-solving mindset.

• Fast learner, good communicator.

• Team player with initiative.

Terms & Conditions:

• Compensation: This internship is for a duration of 1 year with a monthly stipend of Rs.10,000. Upon successful completion, performance-based appraisal and potential full-time opportunities will be considered.

• Bond: 2 years bond with SSC certificate submission.

Job Description:

We are looking for a motivated and detail-oriented SQL Developer (Fresher) who is eager to start their career in database development. You will work closely with our development team to design, optimize, and maintain databases, ensuring efficient data management and retrieval.

Job Responsibilities:

• Write and optimize SQL queries to retrieve, update, and manage data.
• Design and maintain database structures, including tables, indexes, and views.
• Assist in database performance tuning and troubleshooting issues.
• Work with the development team to integrate databases with applications.
• Ensure data integrity, security, and backup strategies are implemented.
• Participate in Agile development meetings and contribute to team discussions.
• Learn and adapt to new database technologies as required.

Qualifications:

• B. Tech in CSE, IT, EEE, ECE (2024 and 2025 passed-out candidates preferred).
• Strong understanding of SQL and relational database concepts (MySQL, PostgreSQL, SQL Server, etc.).
• Basic knowledge of database design, indexing, and normalization.
• Understanding of stored procedures, triggers, and query optimization is a plus.
• Familiarity with software development methodologies (Agile, Scrum, etc.).
• Ability to actively participate in both database administration and development activities.
• Good communication skills and ability to work in a team.

Terms and Conditions Applicable during onboarding process:

• Candidate should serve a 2-year bond with the company.
• The first 6 months will be a training period.
• A salary of 1.8 LPA will be provided during training, with revision upon completion based on performance.
• Candidates must submit original certificates during the onboarding process.

Job Description:

We are seeking a highly motivated and analytical Data Analyst to drive insights and support decision-making through data analysis, dashboard/report creation, and market research. The ideal candidate is a self-starter with a strong curiosity to learn and a go-getter attitude.

Responsibilities:

• Analyze data to uncover trends, patterns, and actionable insights.
• Develop and maintain dashboards and reports for data visualization.
• Conduct market analysis and competitive research to support strategic decisions.
• Perform background analysis on companies, industries, and emerging trends.
• Interpret financial reports to assess business performance.
• Collaborate with cross-functional teams to provide data-driven recommendations.

Qualifications:

• Strong analytical and problem-solving skills.
• Proficiency in data visualization tools (e.g., Power BI, Tableau) and SQL.
• Ability to interpret financial statements and market trends.
• Excellent communication and stakeholder management skills.
• Self-motivated with a passion for continuous learning.

Additional Information:

• Salary Range: Starts with 3LPA
• Job Location: Hyderabad
• Mode of Interview: In Person
• Details Regarding the bond: 30 Months

Job Description:

We are looking for a skilled DevOps Engineer with 2–4 years of experience to manage infrastructure, streamline CI/CD processes, and ensure the performance, availability, and security of applications. The ideal candidate will be well-versed in automation, Azure cloud services, and modern DevOps tools and practices.

Responsibilities:

1. Infrastructure Management & Automation

• Design, build, and manage scalable cloud infrastructure on Azure.

• Automate infrastructure provisioning and application deployments using Terraform, Ansible, or CloudFormation.

• Handle server provisioning, scaling, and load balancing for high-traffic applications.

2. CI/CD Pipeline Development

• Develop and maintain CI/CD pipelines for continuous integration and delivery using Jenkins and other tools.

• Collaborate with developers to optimize and automate software build, test, and deployment workflows.

• Set up automated testing, monitoring, and deployment frameworks.

3. Monitoring & Troubleshooting

• Implement monitoring solutions to track application performance, availability, and security.

• Troubleshoot infrastructure and deployment issues, ensuring minimal downtime and quick resolution.

• Create proactive alerting systems to address potential issues before they affect end-users.

4. Security & Compliance

• Enforce best security practices such as access control, encryption, and vulnerability patching.

• Ensure compliance with industry standards and deployment security policies.

Requirements:

• 2-4 years of hands-on experience in a DevOps role.
• Strong knowledge of Azure Cloud Infrastructure.
• Experience in automating deployments and using IaC tools (Terraform/Ansible).
• Proficiency in setting up and managing CI/CD pipelines.
• Solid understanding of containerization (Docker) and orchestration (Kubernetes).
• Experience with monitoring tools, automated testing, and troubleshooting.
• Familiarity with security best practices in cloud environments.
• Excellent problem-solving and collaboration skills.

Tools & Technologies:

• Cloud: Azure
• DevOps Tools: Jenkins, Docker, Kubernetes
• Version Control & Tracking: GIT, JIRA
• Testing API Tools: Postman, Selenium
• IaC Tools: Terraform, Ansible, CloudFormation (any)

Job Description:

We’re hiring a Senior Analyst – Business Intelligence and Analytics to drive data-led strategies and support key decision-making. The role involves analyzing complex data using SQL, SAS, and Python, and enhancing business processes. Candidates should have 3+ years of analytics experience and strong problem-solving skills.

Responsibilities:

• Strategic Projects: Translate data into consumer or customer behavioural insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings.
• Process Reengineering: Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities.
• Business Intelligence: Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment.

Requirements:

• Bachelor’s degree in Statistics, Economics, Finance, Mathematics or a related quantitative field.
• Engineering / MBA background from a premier institute is preferred.
• Minimum 3+ years’ experience in Business analysis with working knowledge of: SAS / SQL (mandatory), R / Python (desired)
• Experience on business problems around Risk/Collections/sales/marketing strategy optimization, pricing optimization, cross-sell and retention.
• Experience in exploratory data analysis, confirmatory data analysis and/or qualitative analysis
• Experience across different analytical methods like hypothesis testing, segmentation, Clustering etc.
• Analytical and problem-solving ability to deliver projects in a fast-paced environment.
• Behaviour Skill: Execution Focussed

Key Performance Indicators (KPIs):

• Monetary and non-monetary gains from strategic initiatives.
• Full-time equivalent (FTE) and process time savings.  
• Qualitative improvement in decision-making through enhanced business intelligence

Must haves for the role:

• Minimum 3+ years of hands-on analytical experience on Business Analytics.
• Experience in usage of different analytical techniques, like segmentation, hypothesis testing, Clustering etc.
• Ability to drive clear and comprehensive communication flow between business stakeholders and the team and vice versa, translating analytical findings into key insights and actionable recommendations.

Job Description:

We  are looking for a passionate and skilled AI Intern to support the development, setup, and deployment of custom Large Language Models (LLMs) using the Ollama Framework and Python. This role is ideal for candidates with a strong foundation in LLMs and a desire to gain hands-on experience in building real-world AI solutions.

Responsibilities:

• Set up and configure Ollama for hosting and managing custom LLMs.
• Fine-tune open-source language models based on business use cases using Python.
• Work on infrastructure requirements for LLM deployment, including scalability and optimization.
• Integrate LLMs with existing applications using Python APIs and automation scripts.
• Maintain detailed documentation for all LLM development and deployment processes.
• Continuously monitor and improve the performance and efficiency of deployed models

Requirements:

• Solid project or internship experience in LLM setup and deployment.
• Experience with Ollama, LangChain, or similar LLM development platforms.
• Strong proficiency in Python programming and scripting.
• Hands-on experience with Hugging Face Transformers and other LLM tools/frameworks.
• Understanding of infrastructure and environment setups for AI model hosting.
• Ability to work collaboratively in a team environment and adapt to evolving project needs.

Preferred skills:

• Knowledge of Docker, Linux servers, or cloud-based model deployment.
• Familiarity with prompt engineering and model fine-tuning strategies.
• Experience with version control (Git) and Agile development practices.

Internship Details:

Duration: 11 Months

Working Hours: 9:00 AM to 6:00 PM (WFO – Work From Office)

Compensation: Unpaid

Qualification Required: BE/B.Tech/ME/M.Tech

Job Description:

We are looking for an AI Intern - R&D to join our research team and contribute to cutting-edge AI innovations. This role is ideal for individuals with a strong foundation in data science, machine learning, and Generative AI, who are eager to explore Large Language Models (LLMs), Prompt Engineering, and AI-driven solutions.

Requirements:

• Strong foundation in data science concepts and methods.
• Proficiency in Python for data analysis and developing AI systems.
• Experience with SQL for querying and managing relational databases.
• Understanding of Generative AI concepts and practical prompt engineering techniques (creating and optimizing AI prompts for model performance).
• Familiarity with Generative AI concepts and techniques (such as Large Language Models and Prompt Engineering).

Key Skills and Qualifications:

• Exposure to Generative AI and machine learning concepts and their real-world applications.
• Expertise in machine learning algorithms, data analysis, and model development to drive innovation and optimize AI-driven solutions.
• Help configure and implement generative AI systems, specifically in the context of large language models (LLMs) and RAG.
• Basic knowledge of cloud technologies and their role in AI solution deployment.
• Exposure to GitHub and development practices for cloud-based applications.

Preferred skills:

Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.

Ideal Candidate Qualities:

• Demonstrated interest in data science and machine learning.
• Familiarity with Skills like Python, SQL, Prompt Engineering, Fast API, Git, CICD, and ReactJS.
• Strong analytical and problem-solving skills.
• A proactive and enthusiastic attitude.

Job Description:

We are seeking an AI Intern - DevOps to assist in designing, optimizing, and automating the deployment and scaling of AI applications. This role is ideal for individuals with experience in CI/CD pipelines, cloud platforms, and infrastructure automation, looking to gain hands-on exposure to AI-driven workflows.

Requirements:

• Assist in the design and implementation of CI/CD pipelines to automate the integration, testing, and deployment of AI models and applications.
• Assist in the design and implementation of CI/CD pipelines to automate the integration, testing, and deployment of AI models and applications.
• Collaborate with the backend and AI teams to optimize workflows and infrastructure for better performance and scalability.
• Manage version control using Git to ensure code is effectively tracked and deployed across different environments.
• Write and maintain Python scripts to automate tasks, monitor systems, and support infrastructure management.
• Assist in maintaining and improving cloud-based environments and services, ensuring uptime and reliability for AI applications.

Key Skills and Qualifications:

• Proficiency in Cloud platforms (AWS, GCP, or Azure) for managing cloud resources, scaling applications, and deploying services.
• Strong knowledge of CI/CD tools (GitLab CI, CircleCI, etc.) to automate build, test, and deployment processes.
• Hands-on experience with Git for version control, code collaboration, and ensuring efficient code management.
• Proficiency in Python for scripting, automation, and infrastructure management tasks.
• Familiarity with Infrastructure-as-Code tools.

Preferred skills:

Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.

Ideal Candidate Qualities:

• Demonstrated interest in data science and machine learning.
• Familiarity with Skills like Python, SQL, Prompt Engineering, Fast API, Git, CICD, and ReactJS.
• Strong analytical and problem-solving skills.
• A proactive and enthusiastic attitude.

Job Description:

We are looking for an AI Intern - Backend to join our team and contribute to the development of scalable backend services that support AI and Machine Learning workflows. This role is ideal for individuals with a strong Python background, experience in API development, and an understanding of SQL/NoSQL databases.

Requirements:

• Develop and maintain backend services using Python to support AI models and machine learning workflows.
• Work with SQL and NoSQL databases to manage and optimize data storage for AI/ML applications.
• Integrate and optimize APIs (including RESTful and GraphQL) for communication between AI models and frontend or other backend systems.
• Contribute to data pipeline development and optimization for handling large datasets used in machine learning tasks.

Key Skills and Qualifications:

• Proficiency in Python for backend development and integration with AI/ML frameworks.
• Strong knowledge of SQL for managing and querying relational databases.
• Hands-on experience in API development and integration (particularly RESTful APIs).
• Familiarity with Git for version control and collaborative development.
• Basic understanding of machine learning concepts and AI technologies.
• Familiarity with cloud platforms (AWS, Google Cloud, Azure) for deploying AI services is a plus.
• Knowledge of containerization technologies like Docker.
• Basic understanding of AI/ML algorithms such as NLP, Computer Vision, or Reinforcement Learning.

Preferred skills:

Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.

Ideal Candidate Qualities:

• Demonstrated interest in data science and machine learning.
• Familiarity with Skills like Python, SQL, Prompt Engineering, Fast API, Git, CICD, and ReactJS.
• Strong analytical and problem-solving skills.
• A proactive and enthusiastic attitude.

Job Description:

We are seeking AI Interns - GenAI to join our team and gain hands-on experience in Generative AI and Machine Learning. This role is ideal for individuals with a strong foundation in data science, Python, and SQL, who are eager to explore Generative AI models, prompt engineering, and AI-driven applications.

Requirements:

• Strong foundation in data science concepts and methods.
• Proficiency in Python for data analysis and developing AI systems.
• Experience with SQL for querying and managing relational databases.
• Understanding of Generative AI concepts and practical prompt engineering techniques (creating and optimizing AI prompts for model performance).
• Familiarity with Generative AI concepts and techniques (such as Large Language Models and Prompt Engineering).

Key Skills and Qualifications:

• Exposure to Generative AI and machine learning concepts and their real-world applications.
• Familiarity with LangChain
• Help configure and implement generative AI systems, specifically in the context of large language models (LLMs) and RAG.
• Basic knowledge of cloud technologies and their role in AI solution deployment.
• Exposure to GitHub and development practices for cloud-based applications.

Preferred skills:

Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.

Ideal Candidate Qualities:

• Demonstrated interest in data science and machine learning.
• Familiarity with Skills like Python, SQL, Prompt Engineering, Fast API, Git, CICD, and ReactJS.
• Strong analytical and problem-solving skills.
• A proactive and enthusiastic attitude.

Job Description:

We are looking for an enthusiastic AI Intern - Frontend Developer to join our team. This role offers an exciting opportunity to work on cutting-edge AI technologies while enhancing frontend development skills. The ideal candidate should be proficient in React.js, API integration, and version control while having a keen interest in AI-driven applications.

Requirements:

• Familiarity with Git and experience in version control.
• Knowledge of CI/CD processes and tools for continuous integration and deployment.
• Experience with APIs, including RESTful APIs, for connecting frontend applications to backend services.
• Solid understanding of React.js and modern frontend development techniques.
• Strong problem-solving skills and the ability to work independently and as part of a team

Key Skills and Qualifications:

• Proficiency in Git for version control and code collaboration.
• Solid understanding of React.js and modern frontend development techniques.
• Familiarity with API integration and experience working with RESTful APIs.
• Hands-on experience with cutting-edge AI technologies such as Generative AI, Computer Vision, and Machine Learning/Deep Learning.
• Experience in UI/UX design to ensure the development of user-friendly interfaces.
• Knowledge of Git, JavaScript, and related frontend tools.
• Knowledge of CI/CD processes, tools, and frameworks for automating integration and deployment.

Preferred skills:

Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in real-world projects.

Ideal Candidate Qualities:

• Demonstrated interest in data science and machine learning.
• Familiarity with Skills like Python, SQL, Prompt Engineering, Fast API, Git, CICD, and ReactJS.
• Strong analytical and problem-solving skills.
• A proactive and enthusiastic attitude.

Job Description:

We are seeking a Data Analytics Intern to support our AI & ML team in Radio Monitoring & Audio Tagging. The role involves monitoring radio broadcasts, tagging and categorizing audio data, and assisting in AI model training for fingerprinting and chatbot development. This is an excellent opportunity to gain hands-on experience in AI-driven audio recognition and data analytics while working with cutting-edge technologies in media and broadcasting.

Responsibilities:

• Monitor and analyze radio broadcasts for content classification.
• Clip and tag relevant audio segments such as advertisements, songs, and programs.
• Accurately label and categorize audio data for machine learning training.
• Maintain and update structured datasets in AI-based software.
• Assist in training AI models for fingerprinting and chatbot development.
• Work on data processing and automation tasks with the AI & ML team.
• Use Python libraries (pandas, numpy, seaborn) for data analysis and visualization.
• Generate insights and reports using Power BI.
• Manage relational and non-relational databases for data storage and retrieval.
• Contribute to regional model training for fingerprinting and chatbot applications.

Requirements:

• Educational Background: Pursuing or recently completed a degree in Computer Science, Data Science, AI/ML, Electronics, or a related field.
• Basic knowledge of AI & ML concepts.
• Experience with Python (pandas, numpy, seaborn) for data handling.
• Familiarity with Power BI for data visualization.
• Understanding of relational (SQL) and non-relational databases.
• Strong analytical and problem-solving skills.
• Attention to detail in data labeling and classification.
• Good collaboration and teamwork skills.
• Ability to work independently and take initiative.

What We Offer:

• Hands-on experience in AI & ML-based audio recognition projects.
• Exposure to cutting-edge media and broadcast analytics technologies.
• Mentorship and guidance from industry experts in AI and IoT.
• Opportunity to work in a collaborative and innovative environment.
• Potential for full-time employment based on performance.

Important Note:

• Proficiency in Malayalam and Tamil languages is required.

Internship Details:

• Duration: 3 months (Unpaid)
• Job Opportunity: Potential for full-time employment.

Job Description:

We are looking for Data Scientists with expertise in Machine Learning, NLP, and Deep Learning to develop AI-driven solutions. The role involves building, training, and deploying machine learning models for NLP and Computer Vision applications. Candidates with a passion for AI/ML advancements and strong problem-solving skills are encouraged to apply.

Responsibilities:

• Develop, train, and deploy ML models for NLP and Computer Vision.
• Work on image and video processing techniques to extract insights.
• Optimize deep learning models for accuracy and efficiency.
• Implement object detection, segmentation, and feature extraction.
• Collaborate with cross-functional teams to integrate AI solutions.
• Stay updated on AI/ML trends to enhance model performance.

Requirements:

• Proficiency in Machine Learning algorithms and frameworks.
• Expertise in LLMs (BERT, RoBERTa, XLNet, GPT, LLaMA).
• Deep Learning knowledge (LSTM, CNN, RNN, MobileNet, VGG16, InceptionNet, etc.).
• Experience in image processing, feature extraction, object detection (YOLO), and segmentation.
• Hands-on experience with TensorFlow, PyTorch, Flask, or Django for model deployment.
• Strong data preprocessing and analysis skills for large datasets.
• Ability to fine-tune models for performance and efficiency.
• Excellent communication skills to articulate complex technical concepts.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related fields
• Prior experience in scalable ML solutions is a plus.

Terms of Hiring:

• Should be Immediately Available for Joining
• Work From Office job
• Agreement for a period of 15 Months

Selection Process:

• Initial CV Screening
• Telephonic Screening
• Technical Telephonic Round
• Tool Test (On need for preferred position)
• HR Manager Round

Job Description:

We are developing an AI-driven ICU monitoring system that aggregates real-time patient data from multiple medical devices, enabling predictive and prescriptive analytics for proactive patient care. This AI-powered system will help doctors and healthcare providers detect early warning signs of critical conditions, improving decision-making and patient outcomes.

Responsibilities:

• Design and implement machine learning models to analyze ECG, oxygen levels, blood pressure, and other physiological signals in real time.

• Develop anomaly detection algorithms to identify early signs of deterioration in ICU patients.

• Work with time-series forecasting techniques (LSTMs, GRUs, Transformers) for predictive patient care.

• Build multi-modal AI models that integrate data from ICU monitors, EHR systems, and sensor-based inputs.

• Implement streaming analytics to process high-frequency real-time patient data.

• Develop AI-powered decision support tools to recommend personalized treatment strategies.

• Ensure regulatory compliance (HIPAA, GDPR) and model interpretability for medical professionals.

• Collaborate with healthcare experts, doctors, and hospital IT teams for AI solution deployment.

Required Skills & Expertise:

• Strong expertise in time-series analysis, signal processing, and deep learning models.

• Hands-on experience with TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas, and time-series forecasting tools.

• Experience with real-time data ingestion and processing frameworks (Apache Kafka, Spark Streaming, MQTT, IoT Edge).

• Familiarity with biomedical signal analysis, medical imaging, and patient monitoring systems.

• Proficiency in Python, SQL, and cloud-based model deployment (AWS, Azure, GCP).

• Understanding of clinical workflows, electronic health records (EHR), and medical data privacy standards.

Why Join Us?

• Work on life-saving AI solutions that directly impact patient outcomes.

• Gain experience in healthcare AI, predictive analytics, and real-time medical data processing.

• Collaborate with top-tier healthcare professionals, hospitals, and AI researchers.

• Competitive salary, access to cutting-edge medical AI research, and career growth opportunities.

Experience: 1-4 years

Job Type: Full-time

Clients: Comen

Job Description:

We are seeking an AI/ML Engineer to develop an intelligent damage detection and classification model for applications in automotive, logistics, and manufacturing industries. This AI-driven solution will analyze images, videos, and sensor data to automatically detect, classify, and predict different types of damages such as scratches, dents, structural failures, and surface wear. The solution will be integrated into real-time quality control and predictive maintenance systems.

Responsibilities:

• Develop deep learning models to analyze images and videos for automated defect detection and classification.

• Implement CNN-based architectures (ResNet, EfficientNet, YOLO, Faster R-CNN, Mask R-CNN) for precise defect localization.

• Train models on diverse datasets for damage classification, severity assessment, and predictive analytics.

• Work with thermal imaging, hyperspectral analysis, and multi-sensor fusion to improve defect detection accuracy.

• Deploy AI solutions on edge devices (Jetson Nano, TPU) for real-time inspection on production lines and warehouses.

• Optimize models to work under varying lighting conditions, surface textures, and industrial environments.

• Integrate the solution with robotic inspection systems, drone-based assessments, and smart manufacturing processes.

• Develop a dashboard and reporting tool for stakeholders to monitor damage reports and predictive insights.

Required Skills & Expertise:

• Strong expertise in computer vision (OpenCV, PyTorch, TensorFlow, Keras, YOLO).

• Hands-on experience in object detection, segmentation, and anomaly detection models.

• Proficiency in Python, TensorFlow, OpenCV, Scikit-learn, and cloud-based model deployment (AWS/GCP/Azure).

• Familiarity with industrial automation, defect inspection, and predictive maintenance solutions.

• Experience working with large-scale image and video datasets for AI model training.

• Understanding of real-time processing techniques for edge deployment.

Why Join Us?

• Be at the forefront of AI-driven quality control in manufacturing, automotive, and logistics industries.

• Gain hands-on experience in advanced computer vision, sensor fusion, and defect classification.

• Career progression in industrial AI and automation.

• Work on real-world applications that help optimize costs, reduce wastage, and enhance product quality.

Experience: 1-4 years

Job Type: Full-time

Clients: Central Railways, Siemens, SLMG, Metalseam

Job Description:

We are hiring an AI/ML Engineer to build speech enhancement and automatic transcription models that improve audio quality and extract textual information with high accuracy. This solution will be used in call centers, legal proceedings, podcast transcription, and assistive technologies.

Responsibilities:

• Develop deep learning-based speech denoising models (WaveNet, DeepSpeech, Wav2Vec 2.0).

• Work on audio preprocessing techniques (STFT, MFCC, Mel-spectrograms, Noise Reduction algorithms).

• Implement NLP models for accurate speech-to-text conversion.

• Train and fine-tune ASR models using domain-specific datasets.

• Optimize AI models for low-latency real-time audio processing.

• Collaborate with UI/UX teams to integrate AI solutions into transcription applications.

Required Skills & Expertise:

• Strong knowledge of speech processing, ASR models, and signal processing techniques.

• Experience in TensorFlow, PyTorch, Kaldi, SpeechBrain, DeepSpeech.

• Expertise in Natural Language Processing (NLP) and text analytics.

• Knowledge of audio classification, speaker diarization, and emotion recognition is a plus.

Why Join Us?

• Work on state-of-the-art AI-driven speech processing technologies.

• Opportunity to work with global clients in media, customer support, and legal industries.

• Growth in AI-powered voice intelligence solutions.

Experience: 1-4 years

Job Type: Full-time

Job Description:

As an AI/ML Engineer, you will build an automated pallet counting and warehouse optimization solution using computer vision, deep learning, and IoT analytics. This AI-driven system will enhance warehouse operations, reduce errors, and optimize inventory management in logistics and supply chain industries.

Responsibilities:

• Develop computer vision models to count pallets, track inventory, and optimize warehouse storage using camera feeds.

• Implement object detection algorithms (YOLO, Faster R-CNN, SSD) to recognize pallet positions and SKU counts.

• Work with sensor fusion techniques combining LiDAR, RFID, and IoT sensors for real-time inventory tracking.

• Optimize warehouse workflows using reinforcement learning and predictive analytics.

• Design AI-powered dashboards for warehouse managers to monitor real-time inventory levels.

• Deploy models on edge devices (Jetson Nano, Raspberry Pi, TPU) for on-premise AI processing.

• Ensure seamless integration with ERP and WMS platforms for automated inventory updates.

Required Skills & Expertise:

• Strong expertise in computer vision (OpenCV, PyTorch, TensorFlow, YOLO, Mask R-CNN).

• Proficiency in Python, SQL, and data pipeline automation.

• Experience in RFID, barcode scanning, and IoT-driven warehouse solutions.

• Knowledge of warehouse operations, inventory forecasting, and logistics optimization.

• Experience in deploying AI models on cloud platforms (AWS, Azure, GCP).

Why Join Us?

• Be part of a team that is revolutionizing warehouse automation and logistics using AI.

• Work on high-impact AI solutions deployed in global supply chain and e-commerce industries.

• Career growth in AI-powered logistics and automation.

• Gain hands-on experience in Edge AI, real-time tracking, and smart inventory management.

Experience: 1-4 years

Job Type: Full-time

Clients: LEAP, Siemens, CHEP

Job Description:

We are looking for an AI/ML Engineer to develop an advanced road deterioration prediction model and pavement condition assessment system using AI, computer vision, and IoT-based data analytics. This role involves analyzing large-scale road imagery, identifying deterioration patterns, and creating predictive models that help governments and infrastructure companies proactively plan road maintenance.

Responsibilities:

• Develop and implement computer vision algorithms to detect cracks, potholes, and road deterioration from drone and vehicle-mounted cameras.

• Utilize geospatial and satellite data for pavement health monitoring.

• Build predictive maintenance models to forecast road wear and tear based on environmental and traffic conditions.

• Apply deep learning (CNN, Transformers) and classical ML techniques for image classification and segmentation.

• Work with LiDAR, IoT sensor data, and high-resolution imagery to assess pavement quality.

• Collaborate with civil engineers, urban planners, and government agencies for real-world deployment.

• Optimize AI models for real-time performance and integrate them into cloud-based dashboards for automated monitoring.

Required Skills & Expertise:

• Strong experience in computer vision (OpenCV, TensorFlow, PyTorch, YOLO, Faster R-CNN, U-Net).

• Experience in geospatial data processing (GIS, Google Earth Engine, QGIS, ArcGIS).

• Proficiency in Python, NumPy, Pandas, and ML libraries.

• Knowledge of IoT sensor integration and time-series analysis for predictive modeling.

• Cloud-based deployment on AWS, Azure, or Google Cloud.

• Familiarity with transportation analytics and civil engineering concepts is a plus.

Why Join Us?

• Work on projects that directly impact urban infrastructure, smart cities, and road safety.

• Collaborate with government agencies, research institutions, and AI leaders in infrastructure technology.

• Competitive salary with growth opportunities in AI-driven urban planning.

• Access to cutting-edge research in geospatial AI and road condition assessment models.

Experience: 1-4 years

Job Type: Full-time

Clients: YNMSafety, RaiseTech

Job Description:

We are looking for an AI/ML Engineer to develop a smart sales scheduling and routing system to optimize sales representatives' daily schedules, reduce costs, and increase sales efficiency through AI-driven recommendations and route optimization.

Responsibilities:

• Algorithm Development: Design ML-based scheduling and route optimization algorithms, addressing challenges such as the Traveling Salesman Problem (TSP) and Vehicle Routing Problem (VRP).

• Real-time Data Integration: Utilize real-time inputs (traffic, customer locations, weather) to refine scheduling and routing decisions.

• Advanced Machine Learning Techniques: Apply reinforcement learning to dynamically adjust field schedules for optimal performance.

• Collaboration: Work closely with sales managers to integrate AI-driven workforce allocation models that align with field operations.

• Deployment: Deploy AI solutions on cloud-based salesforce automation platforms, ensuring scalability and efficiency.

Required Skills & Expertise:

• Algorithm Development: Design ML-based scheduling and route optimization algorithms, addressing challenges such as the Traveling Salesman Problem (TSP) and Vehicle Routing Problem (VRP).

• Real-time Data Integration: Utilize real-time inputs (traffic, customer locations, weather) to refine scheduling and routing decisions.

• Advanced Machine Learning Techniques: Apply reinforcement learning to dynamically adjust field schedules for optimal performance.

• Collaboration: Work closely with sales managers to integrate AI-driven workforce allocation models that align with field operations.

• Deployment: Deploy AI solutions on cloud-based salesforce automation platforms, ensuring scalability and efficiency.

Why Join Us?

• Impactful Work: Revolutionize field sales operations with AI-powered efficiency models, directly contributing to enhanced operational effectiveness.

• Career Growth: Opportunities for progression in AI-driven sales automation and workforce optimization within global companies.

• Skill Development: Engage with cutting-edge ML models and state-of-the-art technology, paving the way for substantial professional development.

Experience: 1-4 years

Job Type: Full-time

Clients: GT, ViCat, Medtronics

Job Description:

We are hiring an AI/ML Engineer to develop an ASD detection model using machine learning, behavioral data analysis, and advanced diagnostics. You will work on groundbreaking AI-driven mental health assessments to identify ASD risks early and recommend intervention strategies.

Responsibilities:

• Develop machine learning models for early ASD assessment using clinical and behavioral data.

• Analyze genetic, MRI, and EEG datasets to improve ASD risk prediction models.

• Work with deep learning techniques (CNN, GANs, RNNs) for feature extraction from speech and facial expressions.

• Collaborate with medical professionals and psychologists to refine AI-based assessments.

• Deploy scalable AI solutions for ASD detection in healthcare institutions.

• Ensure ethical AI practices in mental health applications.

Required Skills & Expertise:

• AI & ML Techniques: Proficiency in classification, anomaly detection, and pattern recognition.

• Deep Learning: Experience with CNN, GAN, and LSTM models, particularly for behavioral and speech analysis.

• Medical Data Processing: Ability to work with MRI, EEG, and facial/speech recognition data.

• Data Engineering: Expertise in big data processing and feature engineering.

• Regulatory Compliance: Familiarity with HIPAA, GDPR, and other relevant data protection regulations.

Why Join Us?

• Impactful Work: Directly contribute to improving early ASD detection and intervention strategies.

• Cutting-edge Resources: Access to world-class AI/ML tools, mentorship, and research collaborations.

• Career Growth: Enjoy growth opportunities in the fields of medical AI and healthcare startups, with exposure to advanced AI research.

Experience: 1-4 years

Job Type: Full-time

Clients: Ravi Hospitals

Job Description:

We are seeking an innovative AI/ML Engineer to build a cutting-edge disease prediction model and AI-powered wellness recommendation system. This role will allow you to work on real-world healthcare challenges by leveraging data science, deep learning, and predictive analytics to transform patient care and preventive wellness programs.

Responsibilities:

• Develop Disease Prediction Models: Create AI-driven models using patient medical history, lifestyle data, and genetics.
• Design Wellness Recommendation Systems: Build and optimize an AI-powered personalized recommendation engine.
• Data Preprocessing & Analysis: Work with structured and unstructured healthcare data, including EHR, wearable sensor data, and medical records.
• Implement Advanced Models: Apply ML and deep learning techniques such as XGBoost, LSTM, and Transformers for diagnostic accuracy.
• Cloud Deployment: Ensure model scalability and deploy on cloud platforms like AWS, Azure, or GCP.
• Collaboration & Explainability: Partner with healthcare professionals and data scientists to improve model interpretability.
• Compliance: Maintain adherence to HIPAA and GDPR standards for data privacy and security.

Required Skills & Expertise:

• Programming: Proficient in Python experience with TensorFlow, PyTorch, and Scikit-learn.
• Machine Learning: Strong understanding of supervised and unsupervised learning, as well as feature engineering.
• Deep Learning: Hands-on experience with CNN, LSTM, and attention models, especially in processing medical images or text.
• Healthcare Data Handling: Familiar with electronic health records (EHR), wearable device data, and HL7/FHIR standards.
• Cloud Technologies: Experience deploying models using AWS SageMaker, Azure ML, or GCP AI Platform.
• Data Visualization: Skills in visualization tools like Tableau, Power BI, Matplotlib, and Seaborn.
   

Why Join Us?

• Impactful Work: Contribute to early disease detection and AI-driven wellness solutions that make a tangible impact in healthcare.
• Collaborative Environment: Work alongside top AI experts and healthcare professionals in a dynamic, innovative setting.
• Career Growth: Gain valuable expertise in both AI and the healthcare domain, paving the way for leadership opportunities.

Experience: 1-4 years

Job Type: Full-time

Clients: HPCL, JSW, GT

Job Description:

We are seeking a skilled Data Engineer with strong expertise in data technologies and engineering practices. The ideal candidate will possess experience in designing, building, and managing data pipelines and solutions that support business intelligence and analytics needs.
 

Responsibilities:

• Design and develop scalable data pipelines and ETL processes.
• Collaborate with cross-functional teams to gather requirements and implement data solutions.
• Optimize data storage, processing, and retrieval for performance and cost-efficiency.
• Ensure data quality, consistency, and security across various systems.
• Maintain comprehensive documentation for data processes and solutions.

Required Skills:

• Python/PySpark for data processing and scripting.
• SQL/PLSQL for database querying and manipulation.
• Databricks for big data processing and analytics.
• Java for application development and system integration.

Experience:

• Total Experience: 5+ years
• Relevant Experience: 3+ years

Job Description:

Swiggy is hiring for the position of Data Scientist I in Bengaluru, Karnataka, India. The role involves applying Machine Learning (ML) and Deep Learning (DL) techniques to solve business problems

in the e-commerce and logistics domain.

Responsibilities:

• Develop and apply ML/DL models to address business challenges.
• Work with large datasets (‘big data’) and deploy ML/DL models in production.
• Formulate and solve problems using first-principles thinking.
• Collaborate with teams to enhance data-driven decision-making.
• Communicate insights effectively through strong verbal and written skills.

Requirements:

• Education: Bachelor's or Master's degree in a quantitative field.
• Experience: 0-2 years in industry or research labs.

Technical Skills:

• Strong problem-solving abilities.
• Hands-on experience with ML/DL and statistical techniques.
• Proficiency in Python, SQL, Spark, TensorFlow.
• Experience in e-commerce and logistics (preferred).
• Knowledge of Generative AI (preferred).

Way of working - Remote: Employees will have the freedom to work remotely all through the year. These employees, who form a large majority, will come together in their base location for a week, once every quarter.

Job Description:

We are looking for a "Data Analyst" to enhance business intelligence by improving reporting tools, data processes, and business metrics. The ideal candidate should have strong analytical skills, proficiency in SQL and Excel, and a problem-solving mindset. You will play a crucial role in providing actionable insights to drive strategic decision-making.

Responsibilities:

• Improve reporting tools, methods, and processes.
• Create and deliver business metrics on a weekly, monthly, and quarterly basis.
• Manage and prioritize requests effectively.
• Provide insights for strategic decision-making.

Requirements:

• B.Tech/MBA or Master’s/Bachelor’s in Computer Science or related fields.
• 0-3 years of experience in data analysis.
• Proficiency in Advanced Excel and SQL (Python is a plus).
• Understanding of basic statistics and problem-solving skills.

Interview Process:

• Round 1: Online SQL Test
• Round 2: Technical Interview
• Round 3: Technical + Culture Fitment

Eligibility:

• Candidate who can join on immediate basis or for 15 days.

• 2019 to 2024 graduates are eligible to apply.

Additional Information:

Position: Data Analyst
Location: Bangalore (Candidates willing to relocate are welcome)
CTC: 6 LPA
Job Type: 11-month contract (possibility of conversion to full-time based on performance)

Job Description:

We are seeking a skilled and motivated Data Scientist with expertise in statistics, mathematics, and computer science to extract insights and develop predictive models. The role begins with a 6-month paid internship, leading to full-time employment with a 3-year bond (including the internship period)

Responsibilities:

• Extract, clean, and analyze large datasets from various sources to uncover trends and insights.
• Develop predictive models and machine learning algorithms to address complex business challenges.
• Design and conduct experiments to test hypotheses and improve model accuracy.
• Work closely with cross-functional teams to transform business requirements into data-driven solutions.
• Interpret and present findings through reports, visualizations, and presentations for stakeholders.
• Optimize and automate data processes for efficiency and scalability.

Requirements:

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related field.
• Proficiency in Python, R, and SQL for data manipulation and model development.
• Hands-on experience with machine learning techniques and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong analytical, problem-solving, and statistical skills.
• Excellent communication and presentation skills for conveying insights effectively.

Preferred Qualifications:

• Experience working in cloud environments like AWS, Azure, OCI, or Google Cloud Platform.
• Knowledge of Docker and Kubernetes for containerization.
• Familiarity with Agile methodologies and DevOps practices.
• Experience with distributed computing and parallel processing frameworks.

Selection Process:

• HackerRank Test – Candidates will be evaluated on their technical proficiency.
• Interview Rounds – Shortlisted candidates will go through multiple interview rounds.
• Offer & Employment – Selected candidates will begin with a 6-month paid internship, followed by full-time employment with a 3-year bond.

Resume Expectations:
Strong technical skills relevant to the role.
Completion of relevant certifications (if any).
Prior experience or proven capability in the required skill set.

Additional Information:

Work Timings: 1:00 PM – 10:00 PM
Workdays: Monday to Friday (Weekends Off)
Internship Period: 6 months (Paid)
Employment Bond: 3 years (including the internship)
Drop Facility: Available

Job Description:
We are looking for a passionate AI/ML Developer (Fresher) to join our team. The ideal candidate should have a strong understanding of machine learning concepts, data processing, and programming skills. This role offers a great opportunity to work on realworld AI/ML projects, gain hands-on experience, and grow in the field of artificial intelligence.

Responsibilities:

• Develop and implement machine learning models and algorithms.
• Work with large datasets to preprocess and clean data for AI/ML applications.
• Train, test, and optimize models to improve accuracy and performance.
• Collaborate with software developers, data engineers, and product teams to integrate AI solutions.
• Stay updated with the latest AI/ML trends, frameworks, and technologies.
• Assist in writing technical documentation and reports.

Requirements:

• Strong knowledge of Python and libraries such as TensorFlow, PyTorch, Scikitlearn, Pandas, and NumPy.
• Understanding of machine learning algorithms (Regression, Classification, Clustering, etc.).
• Basic knowledge of deep learning and neural networks.
• Experience with data preprocessing and feature engineering.
• Familiarity with SQL and databases for data handling.
• Good problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Preferred Skills (Good to Have):

• Hands-on experience with AI/ML projects during academic coursework or internships.
• Knowledge of cloud platforms like AWS, Azure, or Google Cloud for AI/ML deployment.
• Understanding of Natural Language Processing (NLP) and Computer Vision concepts.
• Experience with tools like Jupyter Notebook, OpenCV, or Hugging Face models.

Educational Qualification:

• Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
• Relevant AI/ML certifications or courses will be an added advantage.

If you are eager to start your career in AI/ML and want to work in an exciting and innovative environment, we would love to hear from you!

Job Description:

We are looking for an enthusiastic "AI/ML Developer (Fresher)" with a strong foundation in Python, Machine Learning, and Deep Learning. As part of our dynamic team, you will work on cutting-edge AI projects, developing intelligent solutions that transform industries and enhance user experiences.

Responsibilities:

As an AIML Developer (Freshers), you will be a part of a team focused on building AI and ML solutions for real-world problems.
Model Development: Assist in developing machine learning and deep learning models for various use cases.
Data Processing: Help with preprocessing and cleaning large datasets.
Algorithm Implementation: Implement AI algorithms for supervised and unsupervised learning.
Collaboration: Work closely with senior developers and data scientists to enhance AI/ML models.

Testing and Debugging: Assist in model testing and evaluating performance metrics.
Documentation: Maintain clear documentation for models and algorithms.
Learning and Growth: Continuously update skills in the rapidly evolving AI/ML space.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• Basic knowledge or understanding of machine learning algorithms, deep learning, and frameworks like TensorFlow, Keras, or PyTorch.
• Proficiency in Python and basic libraries such as Pandas, NumPy, Matplotlib.
• Understanding of data preprocessing, feature engineering, and model evaluation techniques.
• Passion for solving complex problems using AI/ML techniques.
• Strong analytical, mathematical, and problem-solving skills.
• Ability to work in a collaborative team environment.
• Strong communication skills to interact with cross-functional teams.
• Eagerness to learn and grow in the field of Artificial Intelligence and Machine Learning.

Job Details & Compensation:

• Department: Development
• Package: 2.5 to 5 Lakhs CTC (based on performance)
• Job Type: Full-time, Work from Home
• Working Days: 5 days (Monday to Friday)
• Internship Duration: 100 Working Days (Internship followed by Full-time Job based on performance)

Selection Process:

1 .Personal Interview by HR.
2. Technical Interview by Development Lead.
3. Online Interview via Google Meet.
4. Coding Challenge (Live or Take-home).
5. Onboarding & Induction Process.

Benefits:
1. Direct Job Offer after successful completion of training
2. Work from Home.
3. Competitive salary with performance incentives.
4. Opportunity for growth and mentorship in a collaborative team environment.
5. Training and hands-on experience with real-time AI/ML projects.
6. Rewards & recognitions based on performance.

Terms and Conditions:
Project Continuation: Based on successful completion of sprints and evaluations during training.

Candidate Requirements:

• 100% attendance during training and project phases.
• Successful completion of tasks and project goals.
• Job offer will be based on performance and management discretion.

Job Description:
We're seeking enthusiastic Fresher graduates for the "Data Analyst" role, Respective candidates should demonstrate strong analytical and computer skills to effectively manage & analyze data for loading into the platform, along with strong communication skills.

Responsibilities:

• Ability to create courses, load syllabus, and timetables in the platform.
• Perform health checks on platform data and functionalities.
• Collaborate effectively with cross-functional development teams.
• Communicate with clients and gather requirements.
• Ability to give orientations to students and college stakeholders.
• Understand the product thoroughly to provide insights and improvements.

Requirements:  

• Proficiency in Microsoft Excel with Strong analytical and problem-solving skills.
• Excellent communication skills, both written and verbal.
• Client management and requirement gathering skills.
• Adaptability and willingness to learn new technologies.
• Attention to detail and organizational skills.

Additional Information:

• This role involves usage of built-in tools and Advanced Excel for data analysis and loading.
• No usage of coding languages like Python,SQL & visualization tools such as PowerBI and Tableau.

About Company:

Reference globe was established with the aim to provide software services in the educational domain across India. With over 10 years of experience, we have been working with 1000+ Engineering colleges.

Education / Job Experience Required: 

• B.Tech /M.Tech (Minimum 60% Score)
• Fresher 

Job Type : Full Time 

Salary : 1.8 LPA to 2.4 LPA (Based on Skills)

Job Description:
We're seeking enthusiastic Fresher graduates for the "Business Analyst" role, Respective candidates should hold a command of Communication and negotiation skills to communicate with the stakeholders in the educational domain.

Responsibilities:

• Familiarizing yourself with all services offered by our company.
•  Able to demonstrate the product by mapping it with relevant use cases.
• Answer phone inquiries, direct calls, and provide basic company information.
• Procuring new clients through direct contact, word - of - mouth.
• Negotiating with clients to secure the most attractive prices.
• Conduct promotional activities and devise marketing strategies.
• Collaborating with the development team to ensure project deliverables meet client expectations.

Requirements:  

• Should possess market and domain knowledge.
• Proactive in communicating with the clients.
• Ability to generate revenue by identifying pain points and suggesting suitable services.
• Good written and verbal communication, as well as presentation skills.
• Resourceful, with outstanding research skills.

About Company:

Reference globe was established with the aim to provide software services in the educational domain across India. With over 10 years of experience, we have been working with 1000+ Engineering colleges.

Education / Job Experience Required: 

• MBA /B.Tech (Minimum 60% Score)
• Fresher / Experienced

Job Type : Full Time / Day shift

Salary : 2.4LPA to 3.6LPA (Based on the Skills)

Job Description:
We are looking for AWS Data Analytics Specialist for 100% hands on role working with our team at a large American utility provider. Ideal candidate has at least 3 years of hands-on development experience with AWS services and programming languages detailed below.

Additional Details: 

• Programming skills: Be proficient in programming languages such as PySpark, Python, SQL, as well Bash and UNIX coding for rapid data ingestion. 
• Data Modeling skills: Be able to design and implement data models that can be used to store and query large volumes of enterprise data across multiple systems. 
• Analysis skills: Be able to use statistical and machine learning techniques to analyze large amounts of data, including experience with Spark and Hadoop. 
• Cloud Computing skills: Big Data Developers will ideally possess certified credentials on cloud computing platforms such as Amazon Web Services (AWS) and Microsoft Azure, including experience with services such as Glue and Lambda.

Notice Period:

• Immediate to 30 days, we can consider someone around 6 months to 1 Years gap, need technical strong profiles.

Good to Have:

• Hive, Python 

Must have skills:  

• AWS (S3, EMR, Athena, Glue, Lambda, Cloud Formation, Redshift), PySpark, Unix, streaming (Kafka)

Soft Skills:  

• Strong Communication skills, ability to lead offshore development teams. 

Certification:

• Preferred - AWS Data Analytics Specialty Certification 
• At least - AWS Certified Developer 

Experience: 4years to 9 Years

Roles & Responsibilities:

• Assist in data collection, cleaning, and preprocessing tasks.
• Conduct exploratory data analysis (EDA) and create meaningful visualizations.
• Build and implement machine learning models using various algorithms (supervised/unsupervised learning).
• Participate in AI-driven projects, including deep learning and natural language processing (NLP).
• Collaborate with team members to deliver high-quality insights and solutions.
• Document and present findings to stakeholders clearly and effectively.

Skills & Qualifications:

• Completed a data science course or equivalent certification.
• Strong understanding of data science concepts such as data processing, statistical analysis, and exploratory data analysis.
• Experience with machine learning algorithms (regression, classification, clustering) and model evaluation techniques.
• Proficiency in programming languages such as Python, R, and/or SQL.
• Familiarity with tools like Pandas, NumPy, Matplotlib, Seaborn, and machine learning libraries (TensorFlow, Scikit-learn, etc.).
• Good understanding of AI concepts (e.g., deep learning, neural networks).
• Strong problem-solving skills, analytical thinking, and attention to detail.
• Ability to work collaboratively in a fast-paced team environment.

Eligibility Criteria:

• Fresh graduates degree in Data Science, Computer Science, Mathematics, or related fields.
• Available for a full-time internship for 3 months.
• Knowledge of AI and Data Science concepts is essential.
   

Technical Requirements:  AI, Big Data, NLP, Machine Learning, Python, Microsoft LUIS

Responsibilities: Develop and implement AI models and solutions, Analysis large datasets, insights data driven decision making. 
Monitor and evaluate performance of AI models and continuously improve 
Documents processes methodologies and results to stakeholders.

Experience: 3 to 4 years

Job Description: 
We are seeking a skilled and detail-oriented professional to oversee and manage the organization's business data and analytics functions. The role involves designing and maintaining robust data pipelines, infrastructure, and models to process and analyze critical data, including website traffic, leads, sales, and P&L metrics. 
The ideal candidate will be responsible for ensuring data quality, developing scalable ETL processes, and building dashboards to enable actionable insights. This position requires close collaboration with cross-functional teams to align technical solutions with business objectives and support data-driven decision-making across the organization. 

Education / Job Experience Required: 
1. Bachelor's or master's degree in computer science, data science, or a related field 
Location: Bangalore

Day-to-Day Work: 

• Responsible for managing all aspects of business data including website traffic, leads, sales & final P&L. 
• Design and develop robust, scalable, and efficient data pipelines and ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes. 
• Build and maintain data infrastructure, including data warehouses and data processing frameworks. 
• Ensure data quality and integrity by implementing appropriate data validation, monitoring, and error handling mechanisms. 
• Develop and maintain data models and schemas to support data analytics and reporting needs. 
• Identify and address data-related issues and bottlenecks, ensuring the smooth operation of data pipelines and systems. 
• Construct and maintain dashboards that allow users to understand performance and generate Insights. 
• Collaborate closely with cross-functional teams, including engineering, product management, and business stakeholders, to ensure alignment between business objectives and technical solutions. 

Must-Have: 

• Must have experience with Google cloud platform (Bigquery, Dataproc, Cloud functions) 
• Solid understanding of SQL and No SQL Databases like Postgresql & MongoDB. 
• Strong proficiency in Python with experience in data manipulation and scripting. 
• Hands-on experience with ETL tools and data integration using third party APIs. 
• Proven experience with data modelling & report automation. 
• Must have experience in designing, building and maintaining database & data warehouses. 
• Any further experience with Google Apps Script and Google AppSheet. 

Good to Have: 

• Any prior experience with Power BI. 
• Understanding of real time data streaming technologies.