Senior MLOps Engineer

Essential Duties

Include, but are not limited to, the following :

• Own productionizing models—from tracked experiments to governed releases—ensuring resilient services with clear SLOs, runbooks, and fast, safe rollbacks.
• Build automation-first delivery : reproducible builds, layered tests, and environment promotion via GitLab CI and Terraform-based IaC.
• Engineer scalable serving : batch and real-time inference on EKS / ECS / Lambda and Databricks Model Serving with probes, autoscaling, and canary / blue-green deployments.
• Instrument end-to-end observability (data, model, system); detect drift / regressions; lead incidents and post-mortems that drive durable fixes.
• Partner across teams to translate requirements into designs, ADRs, and change plans; balance security, privacy, cost, and performance tradeoffs.
• Continuously reduce toil through automation, optimize model / GPU / LLM cost, and evolve templates / playbooks for repeatable delivery.

Minimum Qualifications :

Preferred Qualifications :