Your mission will be to build and maintain secure ML pipelines in production, transforming how we handle healthcare data at scale
Job Summary
Your mission will be to build and maintain secure ML pipelines in production, transforming how we handle healthcare data at scale.
Your responsibilities include designing and implementing end-to-end ML model pipelines in production (LLM and custom models) with robust deployment, evaluation, and monitoring frameworks.
You will have at least 7+ years as an MLOps Engineer or ML Platform Engineer with proven production model lifecycle management experience.
Matching Summary
Your mission will be to build and maintain secure ML pipelines in production, transforming how we handle healthcare data at scale.
Skills & Requirements
Must-have
ML model pipelines in production
Data pseudo-anonymization architecture
Secure data export services
Golden datasets and model evaluation
Data pipelines for ETL
ML orchestration platforms
Infrastructure-as-code tools
Nice-to-have
Production LLM deployment experience
Data security and privacy frameworks
Building monitoring security services
Strong communication and mentoring skills
Key Requirements
7+ years MLOps Engineer or ML Platform Engineer
Expert-level ML orchestration tools
Strong Site Reliability Engineering (SRE) foundation