Found Description
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 and identify team health indicators
- Review code and provide architectural leadership
- Mentor and grow direct reports to help them achieve professional goals
- Collaborate with product managers and architects on engineering roadmaps
- Represent Canonical at conferences and interact with the community
Requirements
- Proven track record of professional software delivery
- Professional Python development experience, preferably in open source
- Deep understanding of the machine learning space and its challenges
- Experience designing and implementing MLOps solutions
- Exceptional academic track record
- Willingness to travel up to 4 times a year for internal events ...
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