
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
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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
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Desired Skills and Experience
CI/CD, Cloud infrastructure, Training and evaluating, DevOps / Platform Engineering, containerization & orchestration
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