Lead ML Devops Engineer
Core
Automate deployment, lifecycle management, and operationalization of Python-based machine learning models on Google Cloud Platform.
Role type
Senior GCP MLOps Engineer
Builds
Production ML services, automated deployment pipelines, and scalable MLOps frameworks
Domain
Cloud Engineering / Machine Learning Operations
Deliverable
production ML models
Required skills
GCP architecture, Vertex AI, Python, CI/CD automation, Terraform, model versioning, observability, Kubernetes
Preferred skills
MLflow, Kubeflow, Google Cloud Professional Machine Learning Engineer Certification
Technologies
Vertex AI, Cloud Build, BigQuery, Cloud Storage, Cloud Run, GKE, Pub/Sub, Terraform, GitHub Actions, Jenkins, GitLab CI/CD
Responsibilities
Design scalable MLOps frameworks; automate deployment and testing pipelines; implement Infrastructure-as-Code; manage production ML services; establish monitoring and governance standards
Seniority
Senior, hands-on IC