Job Description
Job Description AI & Data Engineering Intern
Experience: 0 Years (Freshers) - 2026 Passouts
About The Role
We are looking for a highly motivated AI & Data Engineering Intern to join our organization, which specializes in building AIdriven, datacentric solutions for realworld business problems.
This role is designed for fresh graduates or finalyear students who want handson exposure to modern data platforms, AIenabled architectures, and cloudscale data engineering.
Key Responsibilities
Assist in building and maintaining data pipelines that support AIdriven analytics and machine learning use cases
Work on structured and semistructured data ingestion, transformation, and preparation for analytical and AI workloads
Write, optimize, and troubleshoot SQL queries, including working with Snowflake cloud data warehouse
Use Python for data processing, transformation, and feature preparation for AI/ML workflows
Gain handson exposure to Databricks (Apache Spark fundamentals) for scalable data processing
Support data quality checks, validation, and monitoring to ensure reliable AIready datasets
Understand how data engineering enables AIbased solutions, such as feature engineering, model inputs, and analytical datasets
Collaborate with data engineers, AI engineers, and analysts to translate business problems into AIfirst technical solutions
Participate in debugging, testing, and performance optimization of data pipelines and workflows
Document data flows, transformations, and solution approaches for maintainability and reuse
Eligibility Criteria
Bachelor's degree in Engineering (Computer Science, IT, Data Science, or related fields) (Only 2026 Passouts)
Basic understanding of SQL and Python
Familiarity with databases, data structures, and fundamental data processing concepts
Basic awareness of AI/ML concepts, cloud platforms, or analytics is an added advantage
Tools & Technologies (Exposure During Internship)
Programming: Python, SQL
Data Platforms: Snowflake, Databricks
Cloud: Azure (preferred)
AI Enablement: Data preparation for AI/ML, analytical and feature datasets
Key Skills & Attributes
Strong analytical and problemsolving mindset
Interest in AIdriven data solutions
Willingness to learn modern data platforms and emerging AI technologies
Good communication and collaboration skills
Ability to work effectively in fastpaced, teamoriented environments
