Software zFhXUVq2 - ML Ops (R37) — United States

For our client, we are seeking a Software Engineer - ML Ops (R37) to join the team of a leader in the Healthcare space.

This remote role will focus on building and operating the production infrastructure that supports machine learning models in a regulated healthcare environment. The engineer will own deployment, scaling, observability, and reliability for ML systems while partnering closely with engineering and operational stakeholders. The work will also support safe rollout practices, lifecycle management, and strong service performance across the platform.

The ideal candidate will bring hands-on experience with modern cloud-native tooling and the discipline needed to support production ML workloads at scale. This is a high-impact opportunity to strengthen the runtime, reliability, and governance of mission-critical ML services.

Location: Remote

Compensation: $140,000 – $270,000 annually

Responsibilities

• Own the production runtime for the ML stack, ensuring model deployment and scaling

• Build progressive delivery pipelines with automated rollouts and rollbacks

• Manage service level objectives (SLOs) for latency and availability

• Implement end-to-end observability for metrics, logs, and traces

• Harden the platform using Terraform, Kubernetes, and CI/CD practices

Qualifications

• Experience deploying and operating ML models on GPUs in production environments

• Proficient in Docker, Kubernetes, Terraform, and CI/CD for model and service management

• Skilled in building end-to-end observability with metrics, logs, and telemetry for ML systems

• Knowledgeable in managing post-training lifecycles, including model registries and retraining processes

• Familiarity with regulated environments like Healthcare or Finance is a plus

Benefits

• Top-of-market compensation with a starting bonus of 10%

• Flexible paid time off (PTO)

• Comprehensive health benefits package

• 401(k) matching program

• Collaborative environment with mission-driven colleagues

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.