All jobs → Partner boards

DevOps Engineer - ML Infrastructure

Capgemini • Remote, US • published 2026-09-26 03:51:38.498797

Description

Remote Contract (5 months 30 days) Published 5 hours ago mlflow distributed systems mlops CI/CD AWS EKS terraform GPU Infrastructure Kubeflow Python (Django, Flask, FastAPI), ORM, SQL kubernetes **Role Overview** We are seeking a DevOps Engineer with deep expertise in cloud\-native infrastructure, Kubernetes, and MLOps to build and support enterprise\-scale machine learning platforms. This role is responsible for designing, automating, and optimizing the infrastructure that powers AI/ML workloads, enabling efficient model training, deployment, monitoring, and lifecycle management. The ideal candidate brings strong experience with AWS EKS, Infrastructure\-as\-Code, CI/CD automation, and distributed systems, along with a passion for platform reliability, scalability, and operational excellence. Working closely with Data Scientists, ML Engineers, and Software Engineers, you will play a key role in modernizing infrastructure, improving developer productivity, and advancing AI capabilities across the organization. **Key Responsibilities** * Design, build, and maintain scalable MLOps platforms for training, deployment, and monitoring of machine learning models. * Develop and manage cloud...

Get jobs like this daily in Telegram: @careeri_bot