Principal ML Systems 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.

balance security, privacy, cost, and performance tradeoffs.

Minimum Qualifications :

or High School Diploma / General Education Degree and 6+ years of relevant experience as outlined in the essential duties in lieu of Bachelor’s Degree.

secure packaging & containerization.

privacy and compliance awareness.

Preferred Qualifications :