MLOps: From Pipeline to Platform

Why MLOps roles are exploding, and how to position yourself.

The line between ML Engineer and MLOps Engineer is blurring. Companies want people who can train models *and* ship them. Focus on: Kubernetes, Terraform, CI/CD for ML, and monitoring/observability.

Senior track: Own the platform. Principal track: Define the stack.