Your Rohde & Schwarz recruiting team is looking forward to receiving your application.
Your tasks
- Manage and automate the entire ML lifecycle, from data handling to model deployment This includes: Develop and maintain CI/CD pipelines tailored for ML workflows
- Utilize Kubernetes, Docker, or similar for ML container orchestration and deployment
- Continuously monitor and ensure system, model and data health and align ML hardware according to computational needs
- Design robust backup and disaster recovery plans for ML models and datasets, Explore and integrate new MLOps tools and methodologies to advance our ML capabilities, upholding security and team collaboration