Senior Manager, Data Science - ML Ops
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The role
Lead the strategy and execution of ML Operations, ML Platform, and Model Lifecycle Management to deliver reliable, scalable AI solutions.
Align ML engineering, data science, and platform capabilities with business needs to maximize measurable impact.
Oversee model deployment strategies, ML-focused CI/CD, monitoring, and automated retraining to ensure performance and governance.
Develop and execute a long-term roadmap to elevate ML operational maturity, including orchestration, feature engineering, and serving.
Drive light DevOps and data engineering activities to support ML workloads and ensure high-quality data pipelines.
Lead a cross-functional team of ML engineers and platform engineers, collaborating with senior stakeholders to scale AI responsibly.
Align ML engineering, data science, and platform capabilities with business needs to maximize measurable impact.
Oversee model deployment strategies, ML-focused CI/CD, monitoring, and automated retraining to ensure performance and governance.
Develop and execute a long-term roadmap to elevate ML operational maturity, including orchestration, feature engineering, and serving.
Drive light DevOps and data engineering activities to support ML workloads and ensure high-quality data pipelines.
Lead a cross-functional team of ML engineers and platform engineers, collaborating with senior stakeholders to scale AI responsibly.
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