Join Electronic Arts as an Expert Machine Learning Engineer in a hybrid setting. You will be pivotal in developing infrastructure that supports anti-cheat and fraud solutions in gaming.
This Senior Machine Learning Engineer position at EA requires at least five years of experience in machine learning and data engineering. You will focus on constructing robust data systems for the EA Player Security Data Labs, enabling data scientists to produce secure and effective gaming experiences. Your role will significantly impact the integrity and reliability of EA's platforms.
Key Responsibilities:
• Design and maintain feature pipelines for ML
• Operate data and ML infrastructure efficiently
• Collaborate with data scientists for seamless model integration
• Maintain observability of data processes
• Contribute to architectural developments as a senior contributor
Requirements:
• Five or more years in data engineering/ML
• Solid Python and SQL skills
• Experience in AWS or GCP settings
• Proficient in Docker and orchestration tools
• Understanding of CI/CD workflows
Bring your technical expertise to EA and enhance the player security landscape across games.
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📌 Expert Machine Learning Engineer Role At Ea Vancouver (Canada)
🏢 Electronic Arts (EA)
📍 Canada