ML Infrastructure Engineer: Scale Models in Production

Kurai is seeking an experienced MLOps Engineer to design and maintain ML pipelines from research to production. You’ll work across data science and engineering to automate training, feature engineering, and deployment workflows.

Our stack emphasizes Kubeflow, MLflow, and custom tooling to keep latency sub-100ms for millions of predictions daily. You’ll build CI/CD pipelines, operate GPU-accelerated ML platforms on Kubernetes, and implement reproducible ML with feature stores and data versioning.