Lead cross-team migrations to next-generation ML frameworks, runtimes, and training systems across distributed models. Drive the strategic roadmap and operational delivery for production ML serving platforms, ensuring low-latency inference, high availability, and zero-downtime rollouts. Partner with capacity planning and engineering teams to optimize compute scalability, hardware efficiency, and accelerator (TPU/GPU) utilization.
Manage cross-functional dependencies, milestones, and technical blockers across modeling, systems, SRE, and platform teams. Establish operational cadences, proactively manage technical risks, and communicate program status, roadmaps, and trade-offs to executive leadership.
Job description provided by Google.
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