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Opis i wymagania
Software Engineer II - EADP - Data
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, Electrical Engineering, or related field.
3+ years of experience with software development and model development
Experience with a programming language such as Go, Java or Scala
Experience with scripting languages such as bash, awk, python
Experience with Scikit-Learn, Pandas, Matplotlib
3+ years of experience with Deep Learning frameworks like PyTorch, TensorFlow, CUDA
Hands-on experience of any ML Platform (Sagemaker, Azure ML, GCP Vertex AI)
Experience with cloud services and modern data technologies
Experience with data streaming and processing systems