Lead Data Engineer - AI/ML
Core
Building and maintaining compute frameworks, analysis tooling, and model implementations for Stanford Health Care's AI platform to support patient care, medical research, and administrative services.
Role type
Lead Data Engineer (AI/ML Infrastructure)
Builds
End-to-end data pipelines, infrastructure, and MLOps processes for healthcare AI models
Domain
Healthcare / Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Cloud deployment strategies, CI/CD, SaaS data infrastructure, MLOps, mentoring junior engineers, resource management, automation workflows
Preferred skills
SQL, R, Python, distributed cloud environments, troubleshooting production environments
Technologies
Cloud platforms, CI/CD tools, SaaS environments, workflow runners
Responsibilities
Build end-to-end data pipelines for ML models; design and implement data processing software; troubleshoot production infrastructure; collaborate with data science teams on algorithm deployment; enforce code quality best practices
Seniority
Senior, hands-on IC with mentorship responsibilities