Engineering Manager - MLOps & Analytics
Canonical
About the position
Lead a distributed team of engineers, focusing on MLOps and analytics while ensuring team productivity and growth.
Tech stack
- python
- kubeflow
- mlflow
- feast
- docker
- kubernetes
- aws
- azure
- google-cloud
Requirements
Required:
- 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
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
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
- Mentor and grow your direct reports, helping them achieve their professional goals
Benefits
- Distributed work environment with twice-yearly team sprints in person
- Personal learning and development budget of USD 2,000 per year
- Annual compensation review
- Maternity and paternity leave