L’offerta in breve

Pragmatike: ML Ops Engineer (EMEA Remote). 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 for a distributed cloud infrastructure startup building GPU-powered services for AI and machine learning workloads. The ML Ops Engineer will build and operate production model-serving infrastructure for real-time applications, collaborating with infrastructure, platform, and applied AI teams. The listing describes a hands-on role with ownership across the ML systems lifecycle, from development through deployment and operational support.

The work includes serving frameworks such as vLLM, TGI, or Triton; deployment pipelines with rollout strategies; autoscaling and request routing; and observability for latency, throughput, GPU use, and cost. Applicants need at least four years in ML Ops, platform engineering, SRE, or similar infrastructure work focused on ML systems, plus production GPU workload experience and Python. The role is fully remote in the EMEA timezone.

Highlights

Build and operate production ML inference infrastructure.
Work on GPU utilization, autoscaling, routing, and reliability.
Own model deployment pipelines and operational support.
Requires 4+ years in relevant ML systems infrastructure roles.

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