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The role involves designing and implementing features for a graphics stack, debugging issues, improving tests, documentation, and collaborating with a distributed team. Candidates should be proficient in modern C++, with knowledge of asynchronous programming and experience in Linux environments.

The AI/ML and MLOps Field Engineer at Canonical will assist global companies in adopting AI using open source technologies on cloud infrastructures, primarily focusing on Linux and Kubernetes. Responsibilities include architecting cloud solutions, engaging in customer interactions, and solving complex data architecture problems using various data technologies.