ML Ops Engineer — Scalable Healthcare AI

R1 RCM, Inc.; South Africa; On-site; ZAR 2,313,000 - 5,783,000; Full time

Benefits offered by this job

Bonus 10%

Flexible PTO

401(k) matching

Job summary

R1 RCM, Inc. is seeking an experienced Software Engineer for the ML Ops team to own production runtime for Phare’s ML stack, deploying and scaling models across inference endpoints and batch/streaming workflows.

You will build progressive delivery pipelines with automated rollouts, manage SLOs for latency and availability, and harden the platform using Terraform, Kubernetes, and CI/CD for reproducible ML releases.

Qualifications

• Production ML: You’ve deployed and operated models running on GPUs in production - APIs and batch/streaming inference.
• Platform engineering: Strong with Docker/Kubernetes, IaaC (e.g., Terraform), and CI/CD for services and model artifacts; you maintain environment parity, reproducible releases, and robust model/experiment versioning with data lineage
• System Reliability: You use progressive delivery with automated rollouts/rollbacks, and you build end-to-end observability (metrics, logs, traces, and model telemetry for drift/regression) plus actionable alerting, runbooks, and incident response
• Post-training lifecycles: You manage model registries and stage gates, design scheduled or event-driven retraining when appropriate, and enforce RBAC, secrets management, encryption, and audit logs
• Experience in regulated environments (e.g., Healthcare, Finance)
• We are looking for candidates at various levels, ranging from Level 2 to Staff

Responsibilities

• Own the production runtime for Phare’s ML stack - deploying, serving, and scaling models across inference endpoints and batch/streaming workflows.
• Build progressive delivery pipelines with automated rollouts and rollbacks, manage SLOs for latency and availability, and instrument end-to-end observability.
• Harden the platform with Terraform, Kubernetes, and CI/CD, ensuring reproducible, auditable ML releases.
• Operate ML systems at scale with uptime and feedback loops as a priority.

Skills

Production ML

Platform engineering

System Reliability

Post-training lifecycles

Tools

Docker

Kubernetes

Terraform

CI/CD

Job description

R1 RCM, Inc. is seeking an experienced Software Engineer for the ML Ops team to own production runtime for Phare’s ML stack, deploying and scaling models across inference endpoints and batch/streaming workflows.

You will build progressive delivery pipelines with automated rollouts, manage SLOs for latency and availability, and harden the platform using Terraform, Kubernetes, and CI/CD for reproducible ML releases.