Senior Software Engineer - ML Platform
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
Lead the ML Platform team to design and implement scalable ML Ops infrastructure and distributed services.
Build and maintain training pipelines and inference services using Kubeflow, Kubernetes, Helm, Terraform, and Python.
Define team priorities, create reusable software components, and enable rapid feature delivery at scale.
Develop deployment pipelines from git to production and establish fast, robust automated testing and validation.
Improve performance, reliability, and observability of existing systems while mentoring junior engineers.
Collaborate with multiple stakeholders to codify best practices in ML engineering across the organization.
Build and maintain training pipelines and inference services using Kubeflow, Kubernetes, Helm, Terraform, and Python.
Define team priorities, create reusable software components, and enable rapid feature delivery at scale.
Develop deployment pipelines from git to production and establish fast, robust automated testing and validation.
Improve performance, reliability, and observability of existing systems while mentoring junior engineers.
Collaborate with multiple stakeholders to codify best practices in ML engineering across the organization.
Die vollständige Anzeige sehen
Aufgaben, Anforderungen, Kompetenzen und Vorteile — mit Ihrem kostenlosen Konto.
oder
Bereits ein Konto?
AnmeldenÄhnliche Stellen
Weitere Positionen, die passen könnten.
Homeofficefull
StadtRemote, Pakistan