Associate Director, MLOps Engineering
Leads MLOps team to build scalable ML infrastructure, manage engineering resources, and drive roadmap for ML deployment. Requires 2+ years managing teams, expertise in Kubernetes, cloud platforms, and ML workflows; bachelor's/master's degree preferred.