- Location: Hyderabad
- Country: India
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Description & Requirements
The EA Digital Platform (EADP) group is the core powering the global EA ecosystem. We provide the foundation for all of EA's incredible games and player experiences with high-level platforms like Cloud, Commerce, Data and AI, Gameplay Services, Identity and Social. By providing reusable capabilities that game teams can easily integrate into their work, we let them focus on making some of the best games in the world and creating meaningful relationships with our players. We're behind the curtain, making it all work together. Come power the future of play with us.
The Challenge Ahead:
We are looking for developers who want to work on a large-scale distributed data system that empowers EA Games to personalize player experience and engagement.
Responsibilities
- You will help with designing, implementing and optimizing the infrastructure for AI model training and deployment platform
- You will help with integrating AI capabilities into existing software systems and applications
- You will develop tools and systems to monitor the performance of the platform in real-time, analyzing key metrics, and proactively identify and address any issues or opportunities for improvement.
- You will participate in code reviews to maintain code quality and ensure best practices
- You will help with feature and operation enhancement for platform under senior guidance
- You will help with improving the stability and observability of the platform
Qualifications
- Bachelor's degree or foreign degree equivalent in Computer Science, or related field.
- 3+ years of experience with software development and model development
- Experience with a programming language such as Go, Java or Scala, python
- Familiar with scripting languages such as bash, awk
- Experience with Scikit-Learn, Pandas, Matplotlib
- Hands on experience in GCP Vertex AI
- Familiar with Deep Learning frameworks like PyTorch, TensorFlow, CUDA
- Familiar with cloud services and modern data technologies
- Familiar with data streaming and processing systems