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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 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 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 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 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 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:

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