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Cloud Engineer Lead
3 weeks ago
This position is for a seasoned engineering professional to lead our Machine Learning Operations (MLOps) team. As Cloud Engineer Lead, you will be responsible for managing a distributed team of engineers and overseeing the implementation of MLOps solutions.
The ideal candidate will have a proven track record of software delivery, experience with machine learning libraries and tools, and expertise in designing and implementing highly automated machine learning solutions for the cloud.
We are looking for someone who can work effectively in a globally remote environment, travel occasionally for internal events, and possess excellent communication and leadership skills.
Key Responsibilities- Lead a distributed team of engineers in implementing MLOps solutions
- Oversee the development and deployment of machine learning models
- Collaborate with cross-functional teams to design and implement automated testing and validation processes
- Mentor and grow direct reports to achieve their professional goals
- Represent Canonical at conferences and events
- Proven experience in software delivery and management
- Expertise in machine learning libraries and tools
- Experience in designing and implementing MLOps solutions
- Strong leadership and communication skills
- Ability to work in a globally remote environment
- Hands-on experience with container technologies (Docker, LXD, Kubernetes)
- Experience with public clouds (AWS, Azure, Google Cloud)
- Working knowledge of cloud computing
- Passionate about software quality and testing