Engineering Manager, MLOps & Analytics

About This Role

The Engineering Manager will lead a distributed team of engineers focusing on MLOps and analytics, ensuring team productivity and fostering individual growth. This role involves technical leadership, code review, and strategic collaboration to define and achieve engineering roadmaps.

Responsibilities

• Manage a distributed team of engineers and its MLOps/Analytics portfolio
• Organize and lead the team's processes to achieve objectives
• Conduct one-on-one meetings with team members
• Identify and measure team health indicators
• Interact with the community, reviewing code produced by other engineers
• Attend conferences to represent Canonical and its MLOps solutions
• Mentor and grow direct reports, helping them achieve professional goals
• Work from home with global travel for internal and external events

Requirements

• Professional Python development experience, preferably with open source track record
• Proven understanding of the machine learning space, challenges and improvement opportunities
• Experience designing and implementing MLOps solutions
• Exceptional academic track record from both high school and preferably university
• Willingness to travel up to 4 times a year for internal events

Qualifications

• Proven track record of professional experience of software delivery

Nice to Have

• Hands-on experience with machine learning libraries or tools
• Proven track record of building highly 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