Engineering Manager - MLOps & Analytics

New
C
CanonicalOpen Source MLOps
Globally remote roleFull-TimeManager
Salary not disclosed
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Job Details

Required Skills
PythonCloud ComputingKubeflowMachine LearningMLFlowSoftware ArchitectureLinuxMLOps

Requirements

  • Proven track record of professional experience of software delivery
  • Professional Python development experience
  • Proven understanding of the machine learning space, its challenges and opportunities
  • Experience designing and implementing MLOps solutions
  • Exceptional academic track record from high school and university
  • Ability to travel internationally up to 4 times a year for company events
  • Commitment to healthy engineering practices, documentation, quality and performance optimization
  • Strong leadership capabilities in fair and clear management

Responsibilities

  • Manage a distributed team of engineers and its MLOps/Analytics portfolio
  • Organize and lead team processes to achieve objectives
  • Conduct one-on-one meetings with team members
  • Identify and measure team health indicators
  • Interact with the MLOps community
  • Review code produced by other engineers
  • Attend conferences to represent Canonical and its MLOps solutions
  • Mentor and grow direct reports to help them achieve professional goals
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