Senior MLOps Engineer

Job Summary

A company is looking for a Senior MLOps Engineer to build and operate a production platform for ML/LLM-driven healthcare workflows.

Key Responsibilities

• Design and operate ML platforms for end-to-end workflows including data ingestion, training, evaluation, deployment, and monitoring
• Implement MLOps best practices and develop scalable training infrastructure
• Productionize ML models on GCP, ensuring observability and compliance with healthcare standards

Required Qualifications

• 6+ years in software/platform engineering, with 4+ years operating ML systems in production
• Strong experience in ML engineering and building APIs/services in Python
• Hands-on experience with LLM systems and GCP services
• Experience with containerization and orchestration (Docker, Kubernetes/GKE, Cloud Run)
• Familiarity with Vertex AI and managed vector search on GCP