Data Infrastructure Engineer — Scalable AI Platform
Summary
Mistral AI is hiring a Data Infrastructure Engineer to design and scale massive compute fleets, storage systems, and end-to-end data pipelines for frontier model training and fine-tuning. The role spans on-premise and cloud-native Kubernetes environments, includes MLOps work and on-call, with Paris/London hybrid or remote EU/UK options.
Mistral AI is building a high-performance data infrastructure for frontier model training and fine-tuning. You will design and scale massive compute fleets and storage systems, enabling secure, governed data access for MLOps and research. The role covers on-premise and cloud-native Kubernetes environments.
Location options include Paris or London (hybrid) or remote EU/UK with one hub day per month. You will own end-to-end pipelines, migrate from legacy schedulers, and contribute to on-call
a16z
Index Ventures 
