Engineering Manager - MLOps & Analytics
Remote
Canonical
Tucson, AZ
Full Time
Manager Level
Posted 4 weeks ago
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Upload Your ResumeAbout This Role
As an Engineering Manager, you will lead and develop a distributed team of engineers focusing on MLOps and Analytics, fostering their growth and ensuring team productivity. You will drive technical delivery, contribute to code, and provide architectural leadership.
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 a vibrant community
- Review 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 2 to 4 weeks per year for internal and external events
Requirements
- Proven track record of professional software delivery experience
- Professional Python development experience (preferably open source)
- Proven understanding of the machine learning space, its challenges and opportunities
- Experience designing and implementing MLOps solutions
- Exceptional academic track record
Qualifications
- An exceptional academic track record from both high school and preferably university
- A 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
Python
*
AWS
*
Azure
*
Google Cloud
*
Kubernetes
*
Docker
*
Linux
*
Kubeflow
*
MLflow
*
LXD
*
Feast
*
* Required skills
Benefits
Personal learning and development budget of USD 2,000 per year
Performance-driven annual bonus
Annual holiday leave
Annual compensation review
Maternity and paternity leave
Employee Assistance Programme
Recognition rewards
Priority Pass for travel and travel upgrades for long-haul company events
About Canonical
A leading provider of open source software and operating systems, known for its Ubuntu platform, revolutionizing enterprise initiatives in cloud, data science, AI, and IoT.
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