MLOps Architect
Core
Design, evolve, and govern an end-to-end Kubeflow-based MLOps platform on Azure, ensuring scalability, security, and cost-efficiency for ML workflows.
Role type
Senior IC MLOps Architect (Platform Engineering)
Builds
Scalable, multi-tenant MLOps platforms and CI/CD pipelines for ML assets
Domain
Cloud Infrastructure (Azure) + Machine Learning Operations
Deliverable
production ML models | infrastructure
Required skills
Kubeflow internals, Kubernetes architecture, Azure cloud services, CI/CD, GitOps, Infrastructure-as-Code, platform observability, FinOps
Preferred skills
Multi-tenant ML platform design, stakeholder management, technical mentorship
Technologies
Kubeflow, Kubernetes, Azure AKS, Terraform, Helm, Argo CD
Responsibilities
Define end-to-end platform architecture and standards; execute Kubeflow and Kubernetes upgrades with minimal disruption; design advanced CI/CD and GitOps workflows; architect platform-wide observability and governance controls; design cost attribution models and drive optimization strategies; mentor junior engineers and advise cross-functional teams.
Seniority
Senior, hands-on IC with strategic leadership