ML Ops Engineer (Boston, MA)

Foundation EGI; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Graphics/physics sim

Monitoring stack setup

Vertex AI experience

Custom DSLs

Job summary

Foundation EGI is seeking an experienced ML Ops/DevOps engineer to architect, build, and operate end-to-end ML pipelines on cloud platforms. You will define and maintain logging, monitoring, and alerting for model performance and data drift while automating CI/CD for ML artifacts and infrastructure.

Join a cross-functional team including frontend, backend, research, and infrastructure engineers to write clean, scalable code and ensure high availability and performance across systems.

Qualifications

• BS in Computer Science or related field.
• 5+ years in AI/ML Ops, DevOps, or infrastructure engineering.
• Expert-level Python and TypeScript skills.
• Experience with Docker, Kubernetes, Terraform, Google Cloud and AWS.
• Deep understanding of machine learning models and CI/CD for ML pipelines.

Responsibilities

• Architect, build, and operate end-to-end ML pipelines 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, backend, research, and infrastructure engineers.
• Write clean, well-documented, fast, and maintainable code.
• Help ensure our systems have high availability and performance.

Skills

Python

TypeScript

CI/CD

Communication

Education

BS in Computer Science or related field

Tools

Docker

Kubernetes

Terraform

Google Cloud

AWS

Job description

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.


• Experience working with custom Domain-Specific Languages.

About Us

We are an MIT-born, venture-backed Silicon Valley startup building a real-life ‘Jarvis’—an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.

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