AI/ML Ops Engineer

Job not on LinkedIn

November 25

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Foundation EGI

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Artificial Intelligence • SaaS • Enterprise

Foundation EGI is an AI-driven platform that automates the generation of engineering documentation from 3D CAD data. The company converts assemblies into 2D/3D parts catalogs, GD&T technical drawings, optimized assembly sequences, and multilingual operator/service manuals, aiming to reduce manual drafting and speed product development for manufacturing and engineering teams. Foundation EGI positions itself as an enterprise SaaS solution that brings machine learning and computational design into industrial workflows to improve accuracy, traceability, and time-to-production.

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• Architect, build, and operate end-to-end ML pipelines for training, validation and deployment on Google Cloud. • 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.

🎯 Requirements

• 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 TypeScript skills. • Experience with Docker, Kubernetes, Terraform, and Google Cloud. • Deep understanding of large language models (LLMs) and prompt-engineering best practices. • Experience designing and maintaining CI/CD pipelines to fine-tune or train LLM models. • Excellent written and verbal communication skills.