Data Infrastructure Engineer for Large-Scale AI (Kubernetes)
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Summary
Designs and operates the data infrastructure behind Mistral AI's large-scale model training and fine-tuning — Kubernetes-based compute fleets and data pipelines across on-premise and cloud-native environments — including migration off legacy orchestrators and on-call for critical workloads.
Mistral AI is seeking a Research Engineer for Data Infrastructure to help design and operate the backbone of our training and fine-tuning ecosystem. You will contribute to scalable compute fleets and data fabrics across on-premise and cloud-native environments.
You will own lifecycle tasks from migration away from legacy orchestrators to implementing robust pipelines, with on-call rotations for critical workloads in a fast-growing AI setting.