ML Ops Engineer: Cloud, CI/CD for ML Systems

CDFAM - Computational Design Symposium; Boston (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

CDFAM - Computational Design Symposium seeks an experienced AI/ML Ops/DevOps Engineer in Boston to join the team and scale ML pipelines. You will collaborate across teams to design, implement, and maintain CI/CD workflows for ML models, including fine-tuning and training LLMs, within containerized, cloud-based environments.

Required are strong Python and TypeScript skills, plus hands-on experience with Terraform and major cloud platforms (Google Cloud, AWS).

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 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.

Skills

AI/ML Ops

DevOps

Python

TypeScript

CI/CD pipelines

Cloud platforms

Communication

Education

BS in Computer Science or related field

Tools

Docker

Kubernetes

Terraform

Google Cloud

AWS

Job description

CDFAM - Computational Design Symposium seeks an experienced AI/ML Ops/DevOps Engineer in Boston to join the team and scale ML pipelines. You will collaborate across teams to design, implement, and maintain CI/CD workflows for ML models, including fine-tuning and training LLMs, within containerized, cloud-based environments.

Required are strong Python and TypeScript skills, plus hands-on experience with Terraform and major cloud platforms (Google Cloud, AWS).