Machine Learning Developer
4 weeks ago
We are seeking a highly skilled Machine Learning Operations (MLOps) Engineer to join our team at Electronic Arts Inc. As an MLOps Engineer, you will play a critical role in delivering in-game Personalization by building global-scale production systems.
Key Responsibilities:
- Create ML pipelines for automating and accelerating ML deployment tasks.
- Build end-to-end ML lifecycle management process, including data extraction and processing, model training and versioning, Hyper parameter tuning, evaluation, and deployment.
- Implement robust software best practices, such as coding standards, code reviews, source control management, build processes, testing, and operations.
- Monitor and improve the performance of machine learning models in production.
Requirements:
- Bachelor's degree in Computer Science, Data Science, or related field.
- Experience as an MLOps Engineer or similar role in Machine Learning.
- Understanding of cloud computing, data management, and machine learning algorithms.
- Proficiency with programming languages such as Python, R, or Scala.
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
- Experience with infrastructure automation technologies like Docker, Kubernetes, Terraform, etc.
- Knowledge of data structures, data modeling, and software architecture.
- Understanding of data analysis workflows and machine learning model lifecycle.
- Comfortable working in an Agile environment.
About Us:
Electronic Arts Inc. is a leading global interactive entertainment company. We serve millions of players with multi-genre online experiences via Live Services. Our Data & Analytics (DnA) function brings both quantitative and qualitative insights to the entire company through Studio Analytics, Data Engineering, Data Science, and Machine Learning Engineering.
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