SMTS Software Engineer - ML Infrastructure
Ist diese Stelle etwas für Sie?
Lebenslauf erstellen Erstellen Sie Ihren Lebenslauf und entdecken Sie Ihre Übereinstimmung mit dieser Stelle — und mit allen anderen.
Die Stelle
Design and deliver scalable generative AI services that can be integrated with many applications and tenants at production scale.
Drive system efficiency through automation, capacity planning, configuration management, performance tuning, monitoring, and root-cause analysis.
Participate in on-call rotations and respond to critical issues to ensure reliability.
Partner with Product Managers, Architects, Data Scientists, and Deep Learning researchers to translate customer requirements into production-ready prototypes and deployments.
Own the end-to-end ML infrastructure lifecycle, including data, training, inference, orchestration, model management, and experimentation.
Collaborate across teams to solve challenging problems and drive innovative ML solutions in a scalable, production-focused environment.
Drive system efficiency through automation, capacity planning, configuration management, performance tuning, monitoring, and root-cause analysis.
Participate in on-call rotations and respond to critical issues to ensure reliability.
Partner with Product Managers, Architects, Data Scientists, and Deep Learning researchers to translate customer requirements into production-ready prototypes and deployments.
Own the end-to-end ML infrastructure lifecycle, including data, training, inference, orchestration, model management, and experimentation.
Collaborate across teams to solve challenging problems and drive innovative ML solutions in a scalable, production-focused environment.
Die vollständige Anzeige sehen
Aufgaben, Anforderungen, Kompetenzen und Vorteile — mit Ihrem kostenlosen Konto.
oder
Bereits ein Konto?
AnmeldenÄhnliche Stellen
Weitere Positionen, die passen könnten.