AI/ML Ops Engineer - Remote

Posted 8 weeks ago

Software Development

Full Time

Worldwide

AI/ML OPS

DevOps

Infrastructure Engineering

Overview

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'—an AI Copilot for design and manufacturing, aiming to utilize advanced AI, physics simulation, and computer graphics to enhance engineering productivity and reduce costs.

In Short

Architect, build, and operate end-to-end ML pipelines on Google Cloud.
Define and maintain logging, monitoring, and alerting for model performance.
Automate CI/CD for ML artifacts using GitHub Actions.
Collaborate with cross-functional teams.
Write clean and maintainable code.
Ensure high availability and performance of systems.

Requirements

BS in Computer Science or related field.
5+ years of experience in AI/ML Ops or DevOps.
Expert-level skills in Python and TypeScript.
Experience with Docker, Kubernetes, Terraform, and Google Cloud.
Understanding of large language models and prompt-engineering.
Experience with CI/CD pipelines for LLM models.
Excellent communication skills.

Benefits

Opportunity to work in an innovative startup environment.
Collaborative and cross-functional team culture.
Work on cutting-edge AI technologies.

Foundation EGI

Foundation EGI is an innovative startup originating from MIT and backed by venture capital, located in Silicon Valley. The company is focused on developing a cutting-edge AI Copilot for design and manufacturing, akin to a real-life 'Jarvis'. By leveraging advanced artificial intelligence, physics simulation, and computer graphics, Foundation EGI aims to enhance engineering productivity and reduce costs throughout the design and manufacturing processes.

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