ML Ops Engineer (AI)

Location: Remote, USA; preferred hybrid arrangement with 3 days onsite at the Soho Office Hub in New York City.

Base pay: $140,000–$270,000 per year, plus eligibility for an annual bonus with a 10% target.

Company

hirify.global provides healthcare revenue cycle technology and services, combining analytics, AI, intelligent automation, and workflow orchestration for hospitals, health systems, and medical groups. R37 is its AI innovation lab, building Phare OS for pre-bill healthcare workflows.

What you will do

• Own the production runtime for Phare’s machine learning stack.
• Deploy, serve, and scale models across GPU inference endpoints and batch or streaming workflows.
• Build progressive delivery pipelines with automated rollouts and rollbacks.
• Manage SLOs for latency and availability and implement end-to-end observability across metrics, logs, traces, drift, and regression.
• Harden the ML platform with Terraform, Kubernetes, and CI/CD to ensure reproducible and auditable releases.
• Manage model registries, stage gates, retraining workflows, access controls, secrets, encryption, and audit logs.

Requirements

• Experience operating machine learning systems at scale, where uptime and feedback loops are as important as model accuracy.
• Experience deploying and operating production models on GPUs, including API and batch or streaming inference.
• Strong Docker and Kubernetes skills, infrastructure as code such as Terraform, and CI/CD for services and model artifacts.
• Ability to maintain environment parity, reproducible releases, robust model and experiment versioning, and data lineage.
• Experience with progressive delivery, automated rollouts and rollbacks, observability, actionable alerting, runbooks, and incident response.
• Experience managing model registries and stage gates, designing scheduled or event-driven retraining, and enforcing RBAC, secrets management, encryption, and audit logs.
• Role levels range from L2 through Senior and Staff, with responsibilities spanning independent end-to-end delivery, larger project leadership, technical initiative leadership, and organization-wide impact.

Nice to have

• Experience working in regulated environments such as healthcare or finance.

Culture & Benefits

• Startup-level ownership with enterprise-level impact across real-world healthcare systems.
• Flexible PTO and comprehensive health benefits.
• 401(k) matching.
• Top-of-market compensation and an annual bonus target starting at 10%.
• Collaborative, mission-driven work focused on improving healthcare operations and patient and provider experiences.