Platform Engineer, Data Infrastructure & MLOps
Summary
Design and scale compute fleets and storage systems for AI workloads, migrate legacy schedulers, and build production pipelines on Kubernetes.
Mistral AI is hiring for a Data Infrastructure Engineer to help architect and operate the next generation of data infrastructure for large-scale AI workloads. You will design and scale compute fleets and storage systems for high performance and secure data access across ML research and production workloads.
You will own end-to-end lifecycle—from migrating away from legacy schedulers to building production pipelines and supporting on-call rotations for critical training jobs, across Kubernetes