Canonical
Engineering Manager- MLOps & Analytics
Vaga remota de Charm Engineering com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis86 países aceitos
Sinal de senioridadeLead
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Resumo da vaga
Engineering Manager- MLOps & Analytics
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Details
- 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
- 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
- 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
- Distributed work environment with twice-yearly team sprints in person - we’ve been working remotely since 2004!
- Personal learning and development budget of USD 2,000 per year
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Maternity and paternity leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues from your team and others
- Priority Pass for travel and travel upgrades for long haul company events
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