Canonical
Engineering Manager- MLOps & Analytics
Remote Charm Engineering role with clear candidate location fit.
PostedRecently added
Eligible countries86 accepted countries
Seniority signalLead
Work settingRemote
Accepted candidate locations
Role overview
Engineering Manager- MLOps & Analytics
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Details
- 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
- 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
- Willingness to travel up to 4 times a year for internal events
- 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, etc.)
- 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 -- even if that is community open source contributions.
- Demonstrated track record of Open Source contributions
- Distributed work environment with twice-yearly team sprints in person - we’ve been working remotely since 2004!
- Personal learning and development budget of USD 2,000 per year
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Maternity and paternity leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues from your team and others
- Priority Pass for travel and travel upgrades for long haul company events
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Hiring flow
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