Key technologies and capabilities for this role
Common questions about this position
Yes, this is a globally remote position with work from home, requiring global travel for 2 to 4 weeks per year for internal and external events.
This information is not specified in the job description.
Required skills include proven professional experience in software delivery, professional Python development experience (preferably open source), understanding of machine learning challenges, experience designing and implementing MLOps solutions, and an exceptional academic track record.
You will manage a distributed team of engineers focused on MLOps/Analytics, fostering a productive and unblocked environment, conducting one-on-ones, mentoring direct reports, and interacting with a vibrant community.
A strong candidate has a proven track record in software delivery and Python development (ideally open source), deep MLOps and machine learning expertise, experience leading distributed teams, and an exceptional academic background, with fluency in tools like Kubeflow, MLFlow, and Feast.
Provides enterprise support for Ubuntu OS
Canonical publishes Ubuntu, an open-source operating system, and offers various commercial services for it. Their products include extended security maintenance, kernel livepatch services, and enterprise support, which help businesses maintain secure and efficient infrastructure. Canonical partners with hardware and software vendors to certify that Ubuntu operates well on different devices, enhancing its reliability. The company generates revenue through subscription services, support contracts, and certification fees. Canonical stands out from competitors with its strong emphasis on security, data center automation, and developer experience, making Ubuntu a preferred choice for enterprises. The goal of Canonical is to provide comprehensive, secure, and customizable solutions for a diverse clientele, from individual developers to large organizations.