ML Infrastructure Engineer

Role overview Build and operate infrastructure for machine learning workloads, with a focus on GPU scheduling, model inference, and fine-tuning workflows. The brief describes work across the systems that allocate compute and serve or adapt models.

Responsibilities - Develop or maintain GPU scheduling capabilities for machine learning workloads. - Support infrastructure for serving model inference. - Build and improve pipelines used to fine-tune models.

Requirements - The source brief does not specify required qualifications, experience, or technical skills.