MLOps Field Engineer

Canonical

WorldwideProgrammingLevel: Mid

Customer-facing solutions architect role: designs and deploys ML architectures and cloud infrastructure on Linux and Kubernetes, supporting the enterprise presales cycle with demos and presentations. Requires a technical background in data engineering or MLOps, intermediate Python, knowledge of containers, virtualization and cloud, fluent English, and up to 30% travel.

kubernetespythonlinuxmlopsawsazuregcpkubeflow

Location per source: Home based - Worldwide

Apply on Canonical

Source: Canonical

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