Hybrid GPU Infrastructure Engineer for ML Systems
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H Company in Paris/London is seeking an Infrastructure engineer to own GPU compute powering model training, evaluation and serving. You’ll run Kubernetes clusters for GPU training and inference, and manage capacity with cloud providers.
By month 12 you’ll be responsible for a globally distributed GPU system, shifting capacity between training and inference as needs change. The role is hybrid, three days a week in our Paris or London office with occasional travel.