Canonical is hiring a
AI/ML and MLOps Field Engineer

Summary

Canonical is hiring an AI/ML and MLOps Field Engineer to help global companies adopt AI using open source capabilities. The role involves designing cloud infrastructure solutions, architecting AI/ML infrastructures, deploying solutions on various platforms, and working with customers and product teams. The position requires a technical background, programming skills, business acumen, and the ability to travel.

Requirements

• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Experience in data engineering, MLOps, or big data solutions deployment
• Experience with a relevant programming language, like Python, R, or Rust
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Demonstrated personal interest in continuous learning and development
• Practical knowledge of Linux, virtualisation, containers and networking
• Business-minded technology thinker and problem solver
• Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP
• Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics
• Intermediate level Python programming skills
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred)
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• A dynamic person who loves to jump in new projects and interact with people
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation
• Result-oriented, with a personal drive to follow up and meet commitments
• Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings

Responsibilities

• Design private and public cloud solutions fitting customer workload needs
• Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark
• Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud)
• Collect customer business requirements and advise them on Ubuntu and relevant open source applications
• Grow a healthy, collaborative engineering culture in line with the company values
• Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients
• Liaise with product teams to give them feedback on requirements to influence roadmap
• Work collaboratively with your sales team to reach our common targets
• Global travel up to 25% of time for internal and external events and 25% to customer meetings