ML Infra Engineer (m/f/d)

Role Overview

This role focuses on designing and building the infrastructure that enables scalable machine learning development, from training-ready datasets through to validated models deployed in production environments.

The position involves establishing core systems and architectural foundations that will support long-term scalability and performance. Key areas include training infrastructure, distributed learning frameworks, experiment management, model lifecycle management, and reliable pathways from model development to production deployment.

Key Responsibilities

• Training infrastructure
  Design, deploy, and operate GPU-based training environments across cloud platforms such as AWS and GCP. This includes node provisioning, workload scheduling (e.g., Kubernetes, Slurm), multi-node networking, GPU monitoring, and cost/utilization optimization.

• Distributed training systems
  Own and optimize di...