ML Ops Engineer

The ML Ops Engineer position at Foundation EGI in Boston, MA is a full-time exempt role. Requirements: Architect, build, and operate end-to-end ML pipelines for training, validation and deployment on Google Cloud and AWS. Define, instrument, and maintain logging, monitoring, and alerting for model performance and data drift. Automate CI/CD for ML artifacts and infrastructure using GitHub Actions or equivalent. Collaborate with cross-functional teams, including frontend engineers, backend engineers, research engineers, and infrastructure engineers. Write clean, well-documented, fast, and maintainable code. Help ensure our systems have high availability and performance. Experience in computer graphics or physics-based simulation. Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks. Experience with Vertex AI.

Key skills for this role include: AWS, Google Cloud, CI/CD, Github Actions, Prometheus, Grafana, Git.

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

This position is On-site. The role is based in Boston, MA.

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