AI/ML and MLOps Field Engineer

Canonical, the company behind Ubuntu, is seeking an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business. This role involves working with the latest open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes. The ideal candidate will be a software engineer who enjoys customer conversations and solving problems during the presales cycle.

Key Responsibilities:

• Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark
• Work across the entire Linux stack, from kernel to applications
• Deliver solutions on-premise or in public cloud (AWS, Azure, Google Cloud)
• Collect customer business requirements and advise on Ubuntu and relevant open source applications
• Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities
• Liaise with product teams to influence roadmap
• Work collaboratively with sales team to reach common targets

Requirements:

• Exceptional academic track record
• Experience in data engineering, MLOps, or big data solutions deployment
• Proficiency in Python, R, or Rust
• Knowledge of Linux, virtualization, containers, and networking
• Understanding of cloud computing concepts and leaders (Kubernetes, AWS, Azure, GCP)
• Excellent interpersonal skills and presentation abilities
• Willingness to travel up to 25% of the time

Canonical offers a distributed work environment with twice-yearly team sprints, personal learning budget, annual compensation review, and various benefits. The company is founder-led, profitable, and growing, with a focus on fostering a diverse and inclusive workplace.

Join Canonical to be at the forefront of open source technology and help shape the future of software in AI, IoT, and cloud computing.