ML Ops Engineer - Cloud AI Pipelines & CI/CD Mastery

Foundation EGI; Boston (MA); On-site; USD 110,000 - 140,000; Full time

Job summary

Foundation EGI, located in Boston, Massachusetts, is seeking a skilled AI/ML Ops Engineer to design and implement end-to-end machine learning pipelines on Google Cloud and AWS. The candidate will collaborate across teams, ensuring high performance and availability of systems, and drive CI/CD automation. A background in computer graphics or physics-based simulation is a bonus. Ideal candidates should have over 5 years of experience with expert skills in Python and TypeScript, along with experience with Docker and Kubernetes.

Qualifications

• 5+ years of experience as an AI/ML Ops, DevOps, Infrastructure Engineer or equivalent.
• Expert-level Python and TypeScript skills.
• Deep understanding of machine learning models, including LLMs.
• Experience designing and maintaining CI/CD pipelines.

Responsibilities

• Architect, build, and operate end-to-end ML pipelines on Google Cloud and AWS.
• Define, instrument, and maintain logging, monitoring, and alerting for model performance.
• Automate CI/CD for ML artifacts using GitHub Actions.
• Collaborate with cross-functional teams including engineers and researchers.
• Help ensure high availability and performance of systems.

Skills

Python

TypeScript

CI/CD pipelines

Docker

Kubernetes

Machine learning models

Infrastructure as Code (Terraform)

Google Cloud

AWS

Education

BS in Computer Science or a related field

Tools

Prometheus

Grafana

ELK Stack

Vertex AI

Domain-Specific Languages

Job description

Foundation EGI, located in Boston, Massachusetts, is seeking a skilled AI/ML Ops Engineer to design and implement end-to-end machine learning pipelines on Google Cloud and AWS. The candidate will collaborate across teams, ensuring high performance and availability of systems, and drive CI/CD automation. A background in computer graphics or physics-based simulation is a bonus. Ideal candidates should have over 5 years of experience with expert skills in Python and TypeScript, along with experience with Docker and Kubernetes.