ML Ops Engineer (Boston, MA)
Foundation EGI4 months ago
Boston, MA, USASenior
Responsibilities
- 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.
- Help ensure high availability and performance of systems.
- Write clean, well-documented, fast, and maintainable code.
- Collaborate with frontend, backend, research, and infrastructure engineers.
Requirements
- Bachelor of Science in Computer Science or a related field.
- 5+ years of experience as an AI/ML Ops, DevOps, Infrastructure Engineer, or equivalent.
- Expert-level Python and TypeScript skills.
- Experience with Docker, Kubernetes, Terraform, Google Cloud, and AWS.
- Deep understanding of machine learning models, including LLMs.
- Experience designing and maintaining CI/CD pipelines to fine-tune or train ML models.
- Excellent written and verbal communication skills.
- Preferred experience includes computer graphics or physics-based simulation, Prometheus/Grafana or ELK monitoring stacks, Vertex AI, and custom domain-specific languages.
Tech Stack
AWSDockerGitHub ActionsGoogle CloudGrafanagRPCKubernetesNext.jsPostgreSQLPrometheusPythonReactSpinnakerTerraformTypeScript
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