Scientific Games is seeking a Staff Machine Learning Engineer to define and build the ML platform architecture. You will establish architectural foundations, reusable tooling, and a platform roadmap to accelerate Data Scientists' velocity with reliable self-service workflows.The role focuses on designing end-to-end platform primitives for batch/inference, deployment, and observability, while mentoring engineers and partnering with DS leadership to scale the platform globally. #J-18808-Ljbffr
📌 Staff Ml Platform Engineer - Self-Serve Pipelines (Montreal)
🏢 Scientific Games
📍 Montreal
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