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Engineering Manager - MLOps & Analytics, Mid Level (Remote)

Jobright.ai, Chicago, Illinois, United States, 60290

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Engineering Manager - MLOps & Analytics, Mid Level (Remote)

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Engineering Manager - MLOps & Analytics, Mid Level (Remote)

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Jobright.ai Engineering Manager - MLOps & Analytics, Mid Level (Remote)

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Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Canonical is a pioneering tech firm that is at the forefront of the global move to open source. The Engineering Manager will lead a distributed team focused on MLOps and Analytics, ensuring effective team management, code reviews, and technical delivery while fostering professional growth among team members. 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 • Identify and measure team health indicators • Interact with a vibrant community • Review code produced by other engineers • Attend conferences to represent Canonical and its MLOps solutions • Mentor and grow your direct reports, helping them achieve their professional goals • Work from home with global travel for 2 to 4 weeks per year for internal and external events Qualifications: 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 • An exceptional academic track record from both high school and preferably university • Willingness to travel up to 4 times a year for internal events Preferred: • 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 • Experience with container technologies (Docker, LXD, Kubernetes, etc.) • Experience with public clouds (AWS, Azure, Google Cloud) • Experience in the Linux and open-source software world • Working knowledge of cloud computing • Passionate about software quality and testing • Experience working on a distributed team on an open source project -- even if that is community open source contributions. • Demonstrated track record of Open Source contributions Company: Canonical, the publisher of Ubuntu, delivers trusted open source for everyone and provides security, support and services to enterprises. Founded in 2004, headquartered in London, England, GBR, team size 1001-5000 employees, currently Late Stage. Canonical has a track record of offering H1B sponsorships. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job

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