Offer summary
Qualifications:
Bachelor's or Master's in Computer Science, Engineering, or related field, Experience in MLOps or DevOps roles, Proficiency in cloud services and CI tools, Familiarity with regulatory requirements in ML applications.
Key responsabilities:
- Monitor and maintain distributed ML platform using cloud services
- Implement improvements to model training performance and ML lifecycle processes
- Develop tests and CI/CD pipelines for ML repositories
- Automate aspects of the ML lifecycle for efficiency
- Evaluate latest tools in the ML ecosystem