Overview

We are seeking a Staff MLOps Engineer to lead the design and deployment of enterprise‑grade machine learning platforms that enable smarter, faster, and safer patient outcomes. The role focuses on operationalizing secure MLOps pipelines for healthcare data at scale, implementing infrastructure‑as‑code and CI/CD automation for cloud‑native ML systems, and collaborating with data scientists and compliance teams to ensure privacy‑first deployments.

Responsibilities

• Lead design and deployment of enterprise‑grade ML platforms.
• Operationalize secure MLOps pipelines for healthcare data at scale.
• Implement infrastructure‑as‑code using Terraform and deploy cloud‑native ML systems.
• Build and maintain CI/CD automation across the stack.
• Collaborate with data scientists, compliance teams, and security to ensure privacy‑first and secure deployments.
• Optimize developer experience and accelerate innovation in AI‑d...