Engineering Manager - MLOps & Analytics
Software Development
Excel
WFA Digital Insight
As demand for machine learning experts grows, companies like Canonical are seeking seasoned leaders to manage distributed teams. With a strong background in Python and MLOps, candidates can stand out in this remote job market. Before applying, consider how your technical expertise and management skills align with Canonical's open-source focus and global community.
Job Description
About the Role
The Engineering Manager - MLOps & Analytics will lead a distributed team of engineers, focusing on MLOps and analytics portfolio management.Responsibilities
- Manage a team of engineers and its MLOps/Analytics portfolio
- Organize and lead team processes to achieve objectives
- Conduct one-on-one meetings with team members
- Identify and measure team health indicators
- Interact with the community
- Review code and mentor direct reports
Requirements
- Proven track record of software delivery experience
- Professional Python development experience, preferably with MLOps background
How to Stand Out
- Develop a strong portfolio showcasing your Python and MLOps expertise, including any experience with Kubeflow, MLFlow, or Feast.
- Highlight your ability to manage distributed teams and facilitate technical delivery in your application.
- Prepare to discuss how you measure team health and ensure a high-performing team environment.
- Research Canonical's commitment to open-source and community engagement to show your alignment with the company's values.
- Be ready to walk through your code review process and architectural leadership experience.
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