L’offerta in breve

Pragmatike: AI Infrastructure Engineer (GPU) - Remote EMEA. Lavoro da remoto nell’UE, aperto a candidati in Italia. Livello: senior. Contratto: Full-time. Tecnologie indicate: Python, Terraform, MLflow.

Responsabilità e requisiti sono riportati nel riepilogo editoriale qui sotto, nella lingua disponibile. Verifica i dettagli nell’annuncio dell’azienda prima di candidarti.

Sul ruolo

Pragmatike is recruiting an AI Infrastructure Engineer for a distributed cloud startup building GPU infrastructure for AI and machine learning workloads. The role focuses on production-grade model serving for real-time applications, with responsibility for reliable, low-latency and cost-efficient inference.

You will build and operate serving systems using tools such as vLLM, TGI or Triton, and develop deployment pipelines, autoscaling, model routing and inference observability. The work spans the full ML systems lifecycle, including production support and on-call. The posting asks for at least four years in ML Ops, platform engineering, SRE or a similar infrastructure role focused on ML systems, along with hands-on serving experience, GPU workloads, Python and infrastructure as code.

Highlights

Remote across EMEA time zones.
Own production model serving and ML infrastructure.
Work with GPU optimization, deployment automation and distributed systems.
Full-time role; fluent English required.

Questo recap è un riassunto editoriale di dataskew, non il testo dell'azienda.