Hybrid ML Ops Engineer — Healthcare AI at Scale

R1 RCM, Inc.; New York (NY); Hybrid; USD 140,000 - 270,000; Full time

Benefits offered by this job

Top-of-market compensation with bonus

Flexible PTO

Comprehensive health benefits

401(k) matching

Inspiring, mission-driven teammates

Job summary

R1 RCM Inc. is hiring a Software Engineer for the ML Ops team in New York, hybrid (3 days onsite). You will own the production runtime for Phare’s ML stack, deploying, serving, and scaling models across inference endpoints and batch/streaming workflows.

You will build progressive delivery pipelines, manage SLOs, and instrument end-to-end observability. Experience with Terraform, Kubernetes, and CI/CD is required to ensure reproducible ML releases and secure operations.

Qualifications

• Production ML workloads deployed in production.
• Strong backend engineering and platform skills.
• Familiar with model versioning and data lineage.

Responsibilities

• Own the ML production runtime for Phare OS including deployment, serving and scaling of models.
• Build and manage end-to-end delivery pipelines with automated rollouts and rollbacks.
• Monitor latency, availability and observability with metrics, logs, traces and drift checks.
• Harden the platform with Terraform, Kubernetes and CI/CD for reproducible ML releases.
• Manage model registries, retraining triggers, RBAC and audit logs.

Skills

Production ML

Platform engineering

System Reliability

Post-training lifecycles

Regulated environments

Tools

Docker/Kubernetes

Terraform

CI/CD

RBAC & secrets management

Job description

R1 RCM Inc. is hiring a Software Engineer for the ML Ops team in New York, hybrid (3 days onsite). You will own the production runtime for Phare’s ML stack, deploying, serving, and scaling models across inference endpoints and batch/streaming workflows.

You will build progressive delivery pipelines, manage SLOs, and instrument end-to-end observability. Experience with Terraform, Kubernetes, and CI/CD is required to ensure reproducible ML releases and secure operations.