L’offerta in breve
Canonical: Engineering Manager - MLOps & Analytics. Lavoro da remoto internazionale, aperto a candidati in Italia. Livello: lead. Tecnologie indicate: Python, Kubernetes, Docker, AWS, Azure, GCP, MLflow, Linux.
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
Engineering Manager for Canonical's MLOps & Analytics team, the people behind the open-source ML stack that ships on Ubuntu and Kubernetes: Kubeflow, MLFlow, Feast, plus the surrounding data infra.
You lead a globally distributed team of Python engineers building MLOps primitives on Kubernetes, deploy across AWS/Azure/GCP, and represent Canonical at conferences. Strong open-source culture, fully remote since 2004, with two team sprints per year in person.
Rare MLOps leadership seat at a vendor whose product IS the platform, not a wrapper on it. Suited if you have shipped ML systems at scale and want to influence the open-source MLOps roadmap directly.
Questo recap è un riassunto editoriale di dataskew, non il testo dell'azienda.