Description
The Senior Machine Learning Ops - AI Engineering role owns the end-to-end lifecycle of AI models, from experiment tracking and model registries through drift monitoring, safe canary or shadow deployments, and rollback procedures. The role builds and operates CI/CD pipelines, observability, security controls, and infrastructure for training and inference workloads on Databricks and cloud platforms, while supporting incident response and production reliability. Required experience includes MLOps tooling, AI/ML workload operations, production CI/CD, monitoring, cloud platforms, infrastructure-as-code, containerization, and software delivery practices.
