- Lead and grow a team of four engineers across ML infrastructure, operations, and project work.
- Improve internal ML platform standards for service performance, permissioning, and deployments.
- Define the 1-2 year roadmap for Machine Learning and Operations Research infrastructure.
- Embed engineers into forecasting, network orchestration, and pricing initiatives to ensure technical quality.
- Drive AI-assisted development adoption within Data Science workflows.
- Participate in the on-call rotation for production systems.
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