For companies:
For professionals:
For everyone:
Requirements and responsibilities
What you'll doDevelop and optimize Dockerfiles with built-in data validation.Create validation scripts using Python or Bash.Implement Dockerfile metadata (LABELs) for datasets, schemas, and lineage.Integrate validation into CI/CD pipelines with fail-on-bad-data checks.Document validation standards and data governance practices.Who should apply?DevOps Engineers with 4+ years of experienceStrong hands-on experience with Docker and DockerfilesProficiency in Python and/or BashExperience with CI/CD pipelines and container registriesFamiliarity with data validation, schemas, and quality checksNice to haveExperience with MLOps workflowsKubernetes or container security knowledgeGreat Expectations or data versioning toolsPrevious LLM research or AI evaluation experienceWhy join?Fully remote contractor roleWork on cutting-edge AI projects with leading LLM companiesFlexible commitment options: 20, 30, or 40 hours/weekContract duration: 2–4 weeks (with an expected start date next week)
Closes in:
0
days
0
hours
0
min
0
sec
tune NOT FOR YOU? IMPROVE YOUR RESULTS