Real job — pulled straight from Foundation EGI’s careers page · Verified July 13, 2026 · No reposts.
Job description
Foundation EGI is hiring a Machine Learning Operations Engineer — a full-time, remote role. Apply directly on Foundation EGI's careers page below.
ML Ops Engineer (Boston, MA)
Team: Engineering
Location: Boston, MA
Commitment: Full-time Exempt
Workplace Type: remote
- 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.
- Experience working with custom Domain-Specific Languages.
What we're looking for
- BS in Computer Science or a related field.
- 5+ years of experience as a AI/ML Ops, DevOps, Infrastructure Engineer or equivalent.
- Expert-level Python and TypeScripts 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.
Bonus Points
- Experience in computer graphics or physics-based simulation.
- Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks.
- Experience with Vertex AI.
- Experience working with custom Domain-Specific Languages.
Our tech stack
- Google Cloud, AWS
- Python, TypeScript
- Protobuf, gRPC
- Next.JS, React.JS
- GitHub Actions
- Docker, Kubernetes, Spinnaker
- PostgreSQL
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Frequently asked questions
Is Machine Learning Operations Engineer at Foundation EGI a remote job?
Yes, Machine Learning Operations Engineer at Foundation EGI is a remote position. Candidates in Boston, MA may be preferred.
What skills are required for Machine Learning Operations Engineer at Foundation EGI?
The required skills for Machine Learning Operations Engineer at Foundation EGI include: Python, TypeScript, Docker, Kubernetes, Terraform, GCP, AWS, Machine Learning, LLM, CI/CD, Prometheus, Grafana, Elasticsearch, gRPC, PostgreSQL, GitHub Actions.
What is the seniority level for Machine Learning Operations Engineer at Foundation EGI?
Machine Learning Operations Engineer at Foundation EGI is a Senior level position.
How do I apply for Machine Learning Operations Engineer at Foundation EGI?
You can view the full description and apply for Machine Learning Operations Engineer at Foundation EGI on EchoJobs: https://echojobs.io/job/foundation-egi-ml-ops-engineer-boston-ma-j0mjg.