Software Engineer - ML Platform
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Die Stelle
As a Software Engineer on the ML Platform team, you will help define the direction of ML Platform initiatives.
You will build scalable ML Ops infrastructure, including training pipelines and inference services, using Kubeflow, Kubernetes, Helm, Terraform, and Python.
You will create deployment pipelines, take code from Git to production, and provide reusable components and infrastructure to enable features at scale.
You will build infrastructure that enables fast, robust automated testing and validation.
You will improve the performance and reliability of existing systems.
You will coach junior engineers and collaborate with multiple stakeholders to drive engineering best practices across the ML org.
You will build scalable ML Ops infrastructure, including training pipelines and inference services, using Kubeflow, Kubernetes, Helm, Terraform, and Python.
You will create deployment pipelines, take code from Git to production, and provide reusable components and infrastructure to enable features at scale.
You will build infrastructure that enables fast, robust automated testing and validation.
You will improve the performance and reliability of existing systems.
You will coach junior engineers and collaborate with multiple stakeholders to drive engineering best practices across the ML org.
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Aufgaben, Anforderungen, Kompetenzen und Vorteile — mit Ihrem kostenlosen Konto.
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