Job Description
Senior MLOps Engineer (NYC, Hybrid)
A high‑growth AI team within a major national healthcare technology organization is hiring MLOps Engineers (Mid → Staff) to operate and scale production ML systems that power healthcare’s first AI‑driven Revenue Operating System.
The Role
You’ll own the production runtime for all ML workloads — deploying, serving, and scaling models across real‑time inference, batch, and streaming pipelines. You’ll build progressive delivery workflows, automated rollouts/rollbacks, and enforce SLOs for latency and availability. You’ll also drive observability across metrics, logs, traces, drift, and regression, and harden the platform using Terraform, Kubernetes, and CI/CD.
What We’re Looking For
- 5+ years software engineering, 2+ years MLOps
- Production ML experience (GPU inference, APIs, batch/stream)
- Strong with Docker/Kubernetes, Terraform, CI/CD
- Observability expertise (metrics, logs, traces, model telemetry)
- Experience with rollouts/rollbacks, runbooks, incident response
- Model registry, lineage, RBAC, secrets management
Bonus: experience in regulated industries (healthcare, finance).
Why Join
- Top-of-market compensation + equity
- Hybrid role (3+ days/week in NYC)
- Mission-driven engineering team
- Massive scale, high ownership