Data management Interns

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