Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP).
Strong understanding of the whole ML lifecycle and experience with MLOps/DataOps.
Proven experience in GPU cluster development and management.
Experience with version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker and Kubernetes.
Strong problem-solving skills and attention to detail.
Contract Duration: 6 months with extensions
Job Type: Fully remote
Working Hours: At least 10-6pm CET, preferred 11-7pm CET
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