Engineering Manager - MLOps & Analytics

View full description

Requirements:

• A proven track record of professional experience of software delivery.
• Professional python development experience, preferably with a track record in open source.
• A proven understanding of the machine learning space, its challenges and opportunities to improve.
• Experience designing and implementing MLOps solutions.
• An exceptional academic track record from both high school and preferably university.

Responsibilities:

• Manage a distributed team of engineers and its MLOps/Analytics portfolio.
• Organize and lead the team’s processes in order to help it achieve its objectives.
• Conduct one-on-one meetings with team members.
• Identify and measure team health indicators.
• Interact with a vibrant community.
• Review code produced by other engineers.
• Attend conferences to represent Canonical and its MLOps solutions.
• Mentor and grow your direct reports, helping them achieve their professional goals.
• Work from home with global travel for 2 to 4 weeks per year for internal and external events.