Senior Manager, Data Science - ML Ops
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The role
Own and drive the strategy for ML Operations, Platform, and Model Lifecycle Management to deliver scalable, production-grade ML solutions.
Lead cross-functional collaboration with Data Science, Engineering, Architecture, and DevOps to maximize reliability, automation, and operational excellence.
Oversee deployment strategies, CI/CD for ML, monitoring, observability, and automated retraining to ensure performance and governance.
Develop and execute a long-term roadmap to elevate ML operational maturity, piloting orchestration, feature engineering, and model serving.
Provide light DevOps and infrastructure automation for ML workloads, containerization, and multi-cloud deployments.
Partner with leadership to identify opportunities to improve ML pipelines and platform tooling, enabling scalable AI across the enterprise.
Lead cross-functional collaboration with Data Science, Engineering, Architecture, and DevOps to maximize reliability, automation, and operational excellence.
Oversee deployment strategies, CI/CD for ML, monitoring, observability, and automated retraining to ensure performance and governance.
Develop and execute a long-term roadmap to elevate ML operational maturity, piloting orchestration, feature engineering, and model serving.
Provide light DevOps and infrastructure automation for ML workloads, containerization, and multi-cloud deployments.
Partner with leadership to identify opportunities to improve ML pipelines and platform tooling, enabling scalable AI across the enterprise.
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