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ML Ops Engineer (Boston, MA)

1 hour, 15 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
AWS CI/CD Docker GCP GitHub Actions Grafana gRPC Kubernetes LLM Machine Learning MLOps Next.js PostgreSQL Prometheus Python React Spinnaker Terraform TypeScript Vertex AI
Apply Now

Foundation EGI

Foundation EGI is an AI platform for engineering and manufacturing. It describes itself as an “Engineering General Intelligence” platform that transforms 3D designs and engineering inputs into drawings, assembly instructions, manuals, catalogs, and production plans to accelerate product development and automate engineering documentation and workflows.

Technology, Information and Internet
11-50
Founded 2023
$31M raised
View All Jobs 5

Description

  • Architect, build, and operate end-to-end ML pipelines for training, validation, and deployment across cloud environments.
  • 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 tools.
  • Collaborate with frontend, backend, research, and infrastructure engineers on cross-functional delivery.
  • Write clean, well-documented, fast, and maintainable code.
  • Help ensure systems meet high availability and performance expectations.
  • Support the training or fine-tuning of machine learning models through reliable deployment workflows.
  • Maintain and improve infrastructure for machine learning operations across Google Cloud and AWS.

Requirements

  • 5+ years of experience as an AI/ML Ops, DevOps, Infrastructure Engineer, or equivalent.
  • BS in Computer Science or a related field.
  • Expert-level Python and TypeScript 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 for training or fine-tuning ML models.
  • Excellent written and verbal communication skills.
  • Experience in computer graphics or physics-based simulation (preferred).
  • Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks (preferred).
  • Experience with Vertex AI or custom Domain-Specific Languages (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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