Machine Learning Engineer, ML Flywheel
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Die Stelle
Line 1: This role focuses on building and maintaining critical data and ML pipelines that power ML development at scale.
Line 2: Implement new features in the data flywheel to process ML data efficiently for onboard and offboard applications.
Line 3: Develop robust ML workflows to automatically train, evaluate, and deploy models in production.
Line 4: Ensure reliable operation of ML pipelines through monitoring, debugging, and proactive troubleshooting.
Line 5: Collaborate with ML modeling teams to understand workflows and design automation that speeds up developer velocity.
Line 6: Requires 2+ years of software engineering experience with distributed systems and strong Python or C++ skills.
Line 2: Implement new features in the data flywheel to process ML data efficiently for onboard and offboard applications.
Line 3: Develop robust ML workflows to automatically train, evaluate, and deploy models in production.
Line 4: Ensure reliable operation of ML pipelines through monitoring, debugging, and proactive troubleshooting.
Line 5: Collaborate with ML modeling teams to understand workflows and design automation that speeds up developer velocity.
Line 6: Requires 2+ years of software engineering experience with distributed systems and strong Python or C++ skills.
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