Responsibilities
- Build, roll out, and manage cloud-based systems that streamline the deployment and oversight of machine learning models.
- Work closely with teams across functions to detect inefficiencies and apply targeted improvements to streamline operations.
- Deliver new functionalities and system updates quickly while upholding strong standards for quality, reliability, and system performance.
- Integrate cutting-edge MLOps tools and advancements to enhance the speed, efficiency, and scalability of machine learning pipelines.
- Engage fully in development practices such as design evaluations, code inspections, and collaborative planning, while keeping technical documentation current and precise.
Work Arrangement
Hybrid
Other
This role requires working from a location where at least three days per week must be spent in the office.
