Remote ML Ops Engineer - Healthcare AI Platform

R1 RCM, Inc.; Detroit (MI); Hybrid; USD 140,000 - 270,000; Full time

Benefits offered by this job

Top-of-market compensation, including

Bonus starting at 10%

Flexible PTO

Comprehensive health benefits

401(k) matching

Mission-driven teammates

Job summary

R1 RCM Inc. is seeking a Software Engineer for the ML Ops team on a hybrid schedule, with three onsite days at the New York City hub. You will own the production runtime for Phare OS, deploying and scaling models across inference endpoints and batch/streaming workflows.

You’ll build progressive delivery pipelines, manage SLOs for latency and availability, and instrument end-to-end observability. The role requires operating ML systems at scale and strong Docker/Kubernetes expertise.

Qualifications

• Production ML deployments and operating models in production
• Strong with Docker/Kubernetes, IaC (Terraform), and CI/CD for services and artifacts
• End-to-end observability and automated rollout/rollback practices
• RBAC, secrets management, encryption, and audit logs for models

Responsibilities

• Own production runtime for Phare’s ML stack
• Deploy, serve, and scale models across endpoints and workflows
• Build progressive delivery pipelines with automated rollouts/rollbacks
• Ensure SLOs for latency and availability and instrument observability

Skills

Production ML

Platform engineering

System Reliability

Post-training lifecycles

Tools

Docker/Kubernetes

Terraform

CI/CD

Model registry

Job description

R1 RCM Inc. is seeking a Software Engineer for the ML Ops team on a hybrid schedule, with three onsite days at the New York City hub. You will own the production runtime for Phare OS, deploying and scaling models across inference endpoints and batch/streaming workflows.

You’ll build progressive delivery pipelines, manage SLOs for latency and availability, and instrument end-to-end observability. The role requires operating ML systems at scale and strong Docker/Kubernetes expertise.