Machine Learning Engineer

• Design and maintain reusable templates and modules for model training, deployment, and monitoring
• Build and evolve CI/CD pipelines for ML workflows, enabling rapid experimentation and safe production releases
• Develop tooling for monitoring model performance, drift, latency, and alerting
• Manage and evolve the feature store, model registry, and endpoint management for scalable inference
• Collaborate with domain teams to onboard models, enforce SLAs, governance, rollback/versioning strategies
• Support self-service capabilities by providing platform tooling and guidance
• Ensure integration of models with enterprise services while meeting compliance and governance requirements
• Partner with leadership to define ML platform standards and communicate technical solutions effectively

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