JJobsSonar

DevOps / Platform Engineer | Remote

CodeGeniusRecruit · United States

AI/MLRemote

About this role

The role involves contributing to the training and evaluation of AI models in DevOps and platform engineering contexts. The candidate will create tasks and deliverables based on real-world infrastructure and deployment scenarios, provide domain-specific feedback to improve AI system performance, and collaborate on diverse projects involving CI/CD pipelines, cloud infrastructure, and containerized environments.

Skills & technologies

Must have

  • CI/CD
  • Cloud infrastructure
  • Docker
  • Kubernetes
  • DevOps

Read full description

About the job Work Snapshot Type: Talent network Location: Remote Commitment: ~15–30 hours/week What You’ll Be Doing Contribute to training and evaluating AI models in DevOps and platform engineering Create tasks and deliverables based on real-world infrastructure and deployment scenarios Provide domain-specific feedback to improve AI system performance Work on projects involving CI/CD pipelines, cloud infrastructure, and containerized environments Collaborate on diverse projects with varying scope and duration What We’re Looking For Strong experience in CI/CD pipelines and automation workflows Strong experience in cloud infrastructure such as AWS, GCP, or Azure Strong experience in containerization and orchestration using Docker and Kubernetes Strong communication skills with the ability to explain technical concepts clearly Ability to work independently and manage tasks in a remote environment How To Apply Upload resume Interview Submit form Desired Skills and Experience CI/CD, Cloud infrastructure, Training and evaluating, DevOps / Platform Engineering, containerization & orchestration
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