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Job Overview
Role: Data & AI Engineering Intern Location: Hyderabad Experience: Freshers / Experienced Qualification: B.E/B.Tech/B.Sc or related bachelor's degree Key Skills: Python, SQL, Programming, Problem Solving, Databases, Data Pipelines, APIs, Git, Generative AI, Large Language Models, Prompt Engineering, Retrieval-Augmented Generation, Embeddings, Vector Search, Tool Calling, Agentic Workflows, Data Ingestion, Data Transformation, Data Validation, ETL/ELT, Data Models, Data Quality, Responsible AI, Security, Governance
Job Description
Electronic Arts (EA) is offering a Data & AI Engineering Intern position in Hyderabad for 2026, targeting students interested in Data Engineering, Artificial Intelligence, Generative AI, and software development. Interns will join the Data and Analytics team, working on AI-assisted data solutions using Python, SQL, Large Language Models, and cloud data technologies. This role involves building solutions for data ingestion, transformation, validation, and analysis, as well as working with LLMs, prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector search, tool calling, and agentic workflows. Candidates should be pursuing a bachelor's degree in Data Science, AI, Engineering, or a related field, with strong fundamentals in Python, SQL, programming, and problem-solving, plus a basic understanding of databases, data pipelines, APIs, and Generative AI. Familiarity with various data and AI technologies (Snowflake, Databricks, Spark, LangChain) is an advantage. The stipend is "Best in Industry", and applications are due ASAP.
Roles and Responsibilities
- Data Ingestion: Develop Python and SQL solutions for bringing data from source systems into environments for processing and analysis.
- Data Transformation: Clean, transform, and standardize data before it is used for analytics or AI applications.
- Data Validation: Implement checks that verify data quality and identify incorrect, incomplete, or inconsistent information.
- ETL and ELT Pipelines: Assist with scalable ETL/ELT pipelines and data models.
- Reusable Data Products: Contribute to reusable data products and data quality processes.
- Generative AI Solutions: Work with LLMs, prompt engineering, RAG, embeddings, vector search, tool calling, and agentic workflows to build AI-assisted data solutions.
- Code Quality and Collaboration: Participate in code reviews and adhere to collaborative software development practices using Git.
- Cloud Data Platforms: Gain exposure to cloud data platforms and big data frameworks.
- Responsible AI: Understand responsible AI, security, and governance practices in data and AI solutions.
Skills and Eligibility Criteria
Educational Background: Currently pursuing a bachelor's degree in Data Science, Artificial Intelligence, Engineering, or a related field.
Experience: Freshers / Experienced.
Mandatory Technical Skills:
- Python
- SQL
- Programming and Problem Solving Fundamentals
- Databases (basic understanding)
- Data Pipelines (basic knowledge)
- APIs (understanding)
- Git
- Large Language Models (basic concepts)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings
- Vector Search
- Tool Calling
- Agentic Workflows
Competencies:
- Familiarity with Snowflake, Databricks, Spark, dbt, Airflow, LangChain, LangGraph, Streamlit, cloud platforms, or vector databases (advantage)
- Responsible AI, Security and Governance (understanding)