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 robust industry grounding, not just academic experimentation.

About the Role:
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 explicit and structured manner




Collaborate with team members following Agile / sprint-based execution
Required Qualifications
Currently pursuing MTech / MS in:
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 co

📌 Data Management Interns Hyderabad
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