Data and AI Engineering Intern

Data and AI Engineering Intern - 215934 - Electronic Arts

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Electronic Arts

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Data and AI Engineering Intern

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Role Detail

General Information

Locations : Hyderabad, Telangana, India

Role ID

215934

Worker Type

Intern - Temporary Employee

Studio/Department

Other

Work Model

Hybrid

Description & Requirements

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.

Data and AI Engineering Intern Electronic Arts is seeking a Data and AI Engineering Intern to join our Data and Analytics team. This internship focuses on applying Generative AI and agentic engineering approaches to modern data engineering, analytics, and automation.

You will work with data engineers, architects, and analysts to build AI-assisted data solutions using Python, SQL, Large Language Models , and cloud data platforms . You will explore how AI agents can interpret requirements, generate and validate code, automate data-quality checks, create technical documentation, investigate anomalies, and support pipeline monitoring with appropriate human oversight.

Key Responsibilities Develop Python and SQL solutions for data ingestion, transformation, validation, and analysis.

Build prototypes using LLMs, prompt engineering, Retrieval-Augmented Generation , embeddings, vector search, tool calling, and agentic workflows.

Assist in developing scalable ETL/ELT pipelines, data models, APIs, and reusable data products.

Apply testing, data quality, security, governance, and responsible AI practices.

Collaborate with technical and business teams and present findings, prototypes, and recommendations.

Required Qualifications Pursuing a bachelor’s Degree, Data Science, Artificial Intelligence, Engineering, or a related field.

Strong fundamentals in Python, SQL , programming, and problem solving.

Basic understanding of databases, data pipelines, APIs, and Generative AI.

Familiarity with Git and collaborative software development.

Preferred Qualifications Exposure to Snowflake, Databricks, Spark, dbt, Airflow, Lang Chain, Lang Graph, Stream lit, cloud platforms, or vector databases is advantageous. Machine Learning experience, including scikit-learn, Py Torch, or TensorFlow, is an additional advantage.

About Electronic Arts We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.

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