Role overview

Qualifications

BS 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

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
Collaborate with cross-functional teams, including frontend engineers, backend engineers, research engineers, and infrastructure engineers

Key facts

Remote from: Massachusetts (USA)
Full time
Senior (5-10 years)
ML Ops Engineer
English

Hard skills

Google Cloud Platform (GCP) Amazon Web Services Python (Programming Language) TypeScript CI/CD Kubernetes Terraform gRPC PostgreSQL Domain-Specific Language Prometheus (Software) Grafana Computer Graphics Dynamic Simulation Computer Performance

Other skills

Collaboration
Communication

About the company

Foundation EGI

Unknown

Company details

Company sizeUnknown

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

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

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.