Senior MLOps Engineer (H/F)
Tasks
- Administer Kubernetes clusters
- Administer and optimize GPU as a service platform
- Collaborate on solution architecture
- Deploy and operate ML workloads at scale
- Design and implement MLOps pipelines
- Ensure ANSSI security compliance
- Integrate secure authentication for multi tenant environments
- Participate in on-call support
- Set up enterprise data storage solutions
Perks/Benefits
Skills/Tech-stack
As-a-Service | Authentication | CI/CD | Cloud Computing | Distributed Systems | GPU as a Service | GPU scheduling | GitLab CI | GitLab CI/CD | Kubernetes | MLOps | Machine Learning | Multi-tenancy | OpenShift | PyTorch | Secure Systems | Storage Solutions | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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