Kubernetes ML Infrastructure Engineer

This role involves operating and evolving a Kubernetes-based runtime for production machine learning workloads, including large-scale batch inference and model serving. The position requires building Kubernetes controllers, optimizing inference engines, and designing autoscaling strategies to improve performance and cost efficiency. The engineer will take operational ownership of training and batch jobs across cloud and customer-hosted environments while ensuring reliability and security.