Intern AI & Data Science

Job Description Summary The AI & Data Science Operations team works on building data-driven and AI-powered solutions to improve business decision-making at scale. As an MTech Intern, you will work closely with data engineers and domain SMEs on real-world data, pipelines, and AI prototypes, gaining hands-on exposure to data engineering, machine learning, and emerging GenAI use cases. This internship is designed to provide strong industry grounding, not just academic experimentation.   Job Description Key Responsibilities • Assist in data preparation, transformation, and analysis using SQL and Python/PySpark • Write and optimize SQL queries to extract and analyze data from structured datasets • Support development of data pipelines and feature engineering workflows • Assist in building and testing Agentic AI modules under guidance (including GenAI use cases) • Work with senior team members to prototype Agentic AI or GenAI-driven solutions • Perform data quality checks and basic validation of datasets • Document learnings, code, and analysis in a clear and structured manner • Collaborate with team members following Agile / sprint-based execution   Required Qualifications • Currently pursuing MTech / MS in: • Computer Science with Data Science/AI as subjects • Or a closely related field   Core Technical Skills • SQL – writing queries, joins, aggregations • Python – data processing, basic scripting • Exposure to PySpark or Spark SQL (coursework or projects is sufficient) • Basic understanding of: • Data structures • Databases • Data processing concepts • Fundamentals of Machine Learning (regression, classification, basic evaluation metrics) • Awareness of Large Language Models (LLMs) , Generative AI concepts, Agentic AI • Any academic or personal project involving: • ML models • NLP • Chatbots • AI prototypes Hands-on depth is not expected—curiosity and willingness to learn is. Preferred • Exposure to cloud platforms (AWS / Azure / GCP) through coursework or labs • Experience with Git / version control • Experience working on college projects, hackathons, or research work • Strong analytical thinking and problem-solving mindset Soft Skills & Mindset • Strong learning orientation and curiosity • Ability to break down problems and ask the right questions • Clear communication of ideas and findings • Comfortable working in a team-based environment   What the Intern Will Gain • Hands-on exposure to real enterprise data and use cases • Practical experience in SQL, Python, PySpark, and data pipelines • Introduction to AI/ML and GenAI applications in industry • Mentorship from experienced Data Scientists and Engineers   Skills Desired