Offer summary
Qualifications:
1-1.5 years commercial experience in related roles, Experience deploying and supporting ML models in production, Proficiency in Python, scripting languages (e.g. Bash), Familiarity with cloud platforms and MLOps tools/frameworks, Understanding of CI/CD pipelines and containerization tools.
Key responsabilities:
- Build and maintain ML infrastructure and pipelines
- Deploy and monitor ML models in production
- Collaborate with Data Scientists and Software Engineers
- Implement CI/CD pipelines for ML projects
- Update documentation and follow best MLOps practices