EA Data Science Intern – Hyderabad (Hybrid)
Electronic Arts • Posted today
- Location
- Hyderabad
- Work mode
- Hybrid
- Experience
- Freshers (students)
- Qualification
- Bachelor's or Master's degree in Computer / Software Engineering, Computer Science or a related field (B.E. / B.Tech / B.Sc. / M.E. / M.Tech / M.Sc.)
Skills
About the internship
Electronic Arts (EA) makes games and services for players and fans around the world. Its EA Digital Platform (EADP) team drives the technology decisions and investments behind cross-platform services for all EA games. EA is hiring a Data Science Intern in Hyderabad, Telangana on a hybrid work model. The role ID is 215937, and the team is CT – Infrastructure & Platform.
What you will do
- Build custom machine learning models for real-world problems, working with product managers and senior engineers
- Understand requirements, prototype and build large-scale distributed applications
- Clean, prepare and analyse large datasets and keep data quality high
- Handle imbalanced datasets to improve model performance
- Deploy and host models so they are scalable and reliable in production
- Monitor models in production and add feedback loops
Who can apply
- A bachelor's or master's degree in computer or software engineering, computer science or a related field
- Solid computer science basics: algorithms, design patterns, CI/CD and data structures
- Python or R, with libraries such as TensorFlow, PyTorch or Scikit-learn
- Understanding of data preprocessing and imbalanced datasets
- Familiarity with deploying models on AWS, GCP or Azure
- Knowledge of model evaluation metrics and how to reduce bias
- A good understanding of LLM architecture, fine-tuning and training
- Strong problem-solving and communication skills
Good to know
- Worker type: intern (temporary)
- Duration, stipend and last date: not stated on the visible listing
How to apply
- Open the official EA page with the Apply Now button below
- Fill in the application and upload your resume
- Keep your resume short and clear. Our fresher resume guide and ATS-friendly resume checklist show how
Preparation tips
- Practise explaining an ML project end to end: data, features, model, metrics and results
- Revise with the data scientist and ML engineer roadmap and the Python guide
- Be ready for coding rounds with the online coding assessment tips
Details come from the company's official job page. Confirm duration, stipend and dates there before you apply.