What are the responsibilities and job description for the MLOps Engineer (Vertex AI / Google Cloud Platform) position at Euclid Innovations?
Role Summary
We are looking for an MLOps Engineer to build and support end-to-end ML pipelines on Vertex AI (Google Cloud Platform) as part of a predictive model migration and replatforming initiative.
This role focuses on pipeline automation, model lifecycle management, and deployment workflows—not general DevOps or GenAI.
Skills:
- Strong hands-on experience with Vertex AI
- Pipelines
- Training jobs
- Model deployment
- Experience with CI/CD for ML systems
- Experience with:
- Model lifecycle management
- Model registry and versioning
- Hands-on with:
- Monitoring, alerting, and model performance tracking
Nice to Have
- Experience with GKE / Kubernetes
- Infrastructure as Code (Terraform)
- Experience building MLOps frameworks from scratch
- Exposure to hybrid environments (on-prem Google Cloud Platform)