Electronic Arts is Hiring Data Science Intern (Hyderabad) | ₹50,000/month

About the Role

EA's Digital Platform (EADP) organization drives key technology decisions and investments for EA across all divisions and studio teams. Its engineering leadership supports the games and services that keep players connected anytime, anywhere, with anyone.

As a Data Science Intern, you will gain hands-on experience building custom machine learning models for real-world challenges within EA's games. EA's games reach tens of millions of monthly active users. You will build solutions that scale in real time to handle several thousand requests per second and drive player engagement across some of the industry's most popular titles. This role suits someone who enjoys complex computing problems, works well in a team, and thrives in a fast-paced, changing development environment.

Responsibilities

• Work with Product Managers, senior engineers and peers to understand requirements, and prototype and build large scale distributed applications.
• Develop and implement custom machine learning models.
• Clean, preprocess and analyze large datasets, ensuring data quality and integrity.
• Address and manage imbalanced datasets to optimize model performance.
• Deploy and host machine learning models, ensuring scalability and reliability in production.
• Monitor and maintain models in production, implementing feedback loops for continuous improvement.
• Identify and mitigate biases in models to ensure fairness and accuracy.
• Collaborate with cross-functional teams to understand business needs and turn them into technical requirements.
• Document processes and model performance, and provide insights and recommendations.

Qualifications

• Bachelor's or master's degree in computer or software engineering, Computer Science or a related field, or an equivalent combination of education.
• A solid foundation in Computer Science fundamentals, algorithms, design patterns, CI/CD processes and data structures.
• Proficiency in Python or R, with experience in libraries such as TensorFlow, PyTorch or Scikit-learn.
• Strong understanding of data preprocessing techniques and handling imbalanced datasets.
• Familiarity with deploying models on cloud platforms (AWS, GCP or Azure).
• Knowledge of model evaluation metrics and techniques to identify and reduce bias.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
• Good understanding of LLM architecture, fine-tuning and training LLMs.
• Robust understanding of AI agents.
• Superb ability to take high-level direction, work through ambiguity and drive to execution in an iterative model.
• Superb ability to translate business requirements into technical design and architecture.
• Ability to communicate ideas clearly and effectively.

About Electronic Arts

EA has an extensive portfolio of games and experiences, with locations around the world and opportunities across the company. We value adaptability, resilience, creativity and curiosity. Leadership supports your growth, and you have room to learn, experiment and do great work.

Benefits are tailored to local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games and more.

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. EA will also consider qualified applicants with criminal records in accordance with applicable law and makes workplace accommodations for qualified individuals with disabilities as required by applicable law.