AI/ML and MLOps Field Engineer

Canonical, the company behind Ubuntu, is seeking an AI/ML and MLOps Field Engineer to help global enterprises implement AI solutions using cutting-edge open source technologies. This role combines software engineering expertise with customer-facing responsibilities, focusing on architecting and deploying sophisticated AI/ML infrastructures on public and private cloud platforms.

The position offers a unique opportunity to work with Ubuntu, the widely-used platform for AI, IoT, and cloud computing. You'll be part of a global team helping enterprises adopt technologies like Kubeflow, MLFlow, and Feast, while solving complex challenges in data architecture and machine learning deployment. The role involves handling advanced scenarios such as training LLMs on multiple K8s clusters and processing massive-scale real-time data.

As a Field Engineer, you'll work remotely with a diverse team of 1000+ colleagues across 70+ countries, participating in regular in-person team meetings worldwide. The role requires strong technical skills in Linux, cloud computing, and Python programming, combined with excellent communication abilities to engage with customers effectively. You'll be instrumental in designing and implementing solutions that range from kernel-level operations to high-level applications, working with leading cloud providers like AWS, Azure, and Google Cloud.

The ideal candidate should have a strong technical background, business acumen, and a passion for open source technology. This position offers extensive learning opportunities in emerging technologies, direct customer interaction, and the chance to influence product development through customer feedback. The company provides comprehensive benefits, including education budgets, parental leave, and opportunities for international travel, making it an excellent opportunity for those seeking to advance their career in AI/ML while working with a pioneer in open source software.