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, and familiarity with containerization tools such as Docker and Kubernetes.
Strong problem-solving skills and attention to detail.
Good communication skills, fluent in English.
Job Type: Fully remote
Working Hours: 10-6pm CET
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