Canonical is seeking an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. This role involves working with enterprise customers to solve complex problems in modern data architectures, such as training LLMs on multiple K8s clusters deployed on hybrid cloud infrastructure with GPU sharing across teams, processing millions of events in real-time for financial transactions, and performing object detection on thousands of parallel 4K video streams.
Key responsibilities include:
The ideal candidate will have:
This role offers the opportunity to work with cutting-edge technologies, interact with a diverse range of businesses, and contribute to the development of the world's best open source data platform. Canonical provides a distributed work environment with twice-yearly team sprints, personal learning and development budget, and various other benefits.
If you're a software engineer who enjoys customer conversations, problem-solving, and working with the latest open source technologies in AI and data science, this role could be an excellent fit for you at Canonical.