AI - ML DevOps Engineer
Core
Design and implement scalable environments for predictive models, large language models, and agentic AI/ML solutions, managing end-to-end pipelines from data ingestion to deployment and lifecycle management.
Role type
Senior IC AI/ML DevOps Engineer
Builds
Production-ready AI/ML applications and agentic solutions in cloud environments
Domain
Healthcare + Cloud-native AI/ML Operations
Deliverable
production ML models
Required skills
MLOps, DevOps, Cloud-native AI/ML services, Infrastructure as Code, Containerization, SQL, Data engineering, API development, Systems integration, Git workflows, Automated testing
Preferred skills
Google Cloud Platform (GCP), MCP servers, HIPAA-aligned practices
Technologies
Google Cloud Platform, Git, SQL, MCP servers
Responsibilities
Design and implement environments for scalable AI/ML solutions; Develop and maintain end-to-end ML and RAG pipelines; Implement CI/CD, model versioning, and monitoring; Deploy and manage AI/ML applications in cloud environments; Implement observability and performance evaluation; Collaborate with data engineers, data scientists, and platform teams; Document deployments and operational procedures; Troubleshoot pipeline and infrastructure issues.
Seniority
Senior, hands-on IC