Software Engineer - MLOps
Core
Own the production runtime for an AI-native Healthcare Revenue Operating System, deploying, serving, and scaling ML models across inference endpoints and batch/streaming workflows.
Role type
Senior IC MLOps Engineer
Builds
Production ML inference pipelines, automated rollouts/rollbacks, and end-to-end observability for healthcare revenue workflows.
Domain
Healthcare / AI Infrastructure
Deliverable
production ML models
Required skills
Production ML deployment on GPUs, Kubernetes, Infrastructure as Code (Terraform), CI/CD, Progressive delivery, End-to-end observability, Model registry management, RBAC and secrets management
Preferred skills
Experience in regulated environments (healthcare, finance)
Technologies
Kubernetes, Terraform, Docker
Responsibilities
Deploy and scale models across inference endpoints and batch/streaming workflows; Build progressive delivery pipelines with automated rollouts and rollbacks; Manage SLOs for latency and availability; Instrument end-to-end observability (metrics, logs, traces, drift, regression); Harden the platform with Terraform, Kubernetes, and CI/CD
Seniority
Senior, hands-on IC
