Ml Ops - Gcp

CI/CD Pipelines: Experience in automating the entire ML lifecycle on GCP using Vertex AIPipelines,CloudBuild, and integration with source control.
Infrastructure as Code: Proficiency in using Deployment Manager or Terraform to manage GCP infrastructure for ML workflows.
Monitoring and Observability: Skills in setting up comprehensive monitoring and logging for ML systems using Cloud Logging, Cloud Monitoring, and integrating with Vertex AI Experiments.