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