Engineering Manager - MLOps & Analytics

About This Role

The Engineering Manager - MLOps & Analytics will lead an effective, distributed team, fostering their professional growth while ensuring high-quality software delivery within the machine learning space. This role involves technical leadership, code review, and strategic collaboration to achieve ambitious engineering goals for Canonical's MLOps solutions.

Responsibilities

• Manage a distributed team of engineers and oversee its MLOps/Analytics portfolio
• Organize and lead the team's processes to achieve objectives
• Conduct one-on-one meetings with team members and identify team health indicators
• Interact with the community and represent Canonical at conferences
• Review code produced by other engineers
• Mentor and grow direct reports, helping them achieve professional goals
• Work remotely with global travel for internal and external events
• Collaborate with other Engineering Managers, product managers, and architects to produce engineering roadmaps

Requirements

• Proven software delivery experience
• Professional Python development experience
• Deep understanding of machine learning concepts
• Experience designing and implementing MLOps solutions
• Exceptional academic track record from high school and university
• Willingness to travel up to 4 times a year

Qualifications

• Exceptional academic track record from high school and preferably university
• Proven track record of professional software delivery experience; professional Python development experience, preferably in open source; proven understanding of the machine learning space; experience designing and implementing MLOps solutions.

Nice to Have

• Hands-on experience with machine learning libraries or tools
• Track record of building automated machine learning solutions for the cloud
• Experience with building machine learning models
• Experience with container technologies (Docker, LXD, Kubernetes)
• Experience with public clouds (AWS, Azure, Google Cloud)
• Experience in the Linux and open-source software world
• Working knowledge of cloud computing
• Passionate about software quality and testing
• Experience working on a distributed team on an open source project
• Demonstrated track record of Open Source contributions

Skills

* Required skills

Benefits