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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.