Senior MLOps Engineer Position
2 weeks ago
This position is part of our Data Science & Engineering Team, focused on developing cutting-edge MLOps solutions for the cloud.
Your Key Responsibilities:
- Manage a distributed team of engineers, fostering collaboration and driving project success.
- Leverage your expertise in MLOps to design and implement scalable solutions, meeting business needs and industry standards.
- Develop and maintain effective processes, ensuring seamless integration with cross-functional teams.
- Mentor and guide team members, promoting skill development and career growth.
- Engage with the broader engineering community, sharing knowledge and best practices.
- Collaborate with product owners to define product roadmaps, ensuring alignment with business objectives.
- Represent Canonical at industry conferences, showcasing expertise in MLOps and building relationships with industry peers.
We are seeking a highly skilled professional with:
- A proven track record of delivering complex software projects, leveraging expertise in agile methodologies and project management.
- Advanced Python development skills, preferably with a background in open-source projects and contributions.
- Deep understanding of the machine learning space, including challenges, opportunities, and emerging trends.
- Hands-on experience designing and implementing MLOPs solutions, driving innovation and efficiency.
- Exceptional academic credentials from both high school and university levels.
- Willingness to travel extensively, up to 4 times a year, for internal and external events.
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