
Data Science and AI Engineering Specialist
Há 7 dias
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in breakthrough initiatives such as public cloud, data science, AI, engineering innovation and IoT.
We serve individuals and community members as much as Global 2000 and Fortune 500 customers; our primary work is available free of charge, and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but try to ensure that colleagues have company during working hours. Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
- Developing Your Skills:
- Understand the entire Linux stack, from kernel, networking, and storage, to the application layer
- Design, build, and maintain solutions that will be deployed on public and private clouds and local workstations
- Master distributed systems concepts such as observability, identity, tracing
- Work with both Kubernetes and machine-oriented open-source applications
- Collaborate proactively with a distributed team of engineers, designers, and product managers
- Debug issues and interact with upstream and Ubuntu communities
- Generate and discuss ideas, and collaborate on finding good solutions
- Requirements:
- Professional or academic software delivery using Python
- Exceptional academic track record from both high school and university
- Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
- Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
- Track record of going above-and-beyond expectations to achieve outstanding results
- Passion for technology evidenced by personal projects and initiatives
- The work ethic and confidence to shine alongside motivated colleagues
- Professional written and spoken English with excellent presentation skills
- Experience with Linux (Debian or Ubuntu preferred)
- Excellent interpersonal skills, curiosity, flexibility, and accountability
- Appreciative of diversity, polite, and effective in a multi-cultural, multi-national organisation
- Thoughtfulness and self-motivation
- Result-oriented, with a personal drive to meet commitments
- Additional Skills:
- Hands-on experience with machine learning libraries or tools
- Proven track record of building highly automated machine learning solutions for the cloud
- Experience with container technologies (Docker, LXD, Kubernetes, etc.)
- Experience with public clouds (AWS, Azure, Google Cloud)
- Working knowledge of cloud computing
- Passionate about software quality and testing
- Experience working on an open-source project
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