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AI/ML and MLOps Field Engineer

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets.
Senior Software Engineer
Remote
501 - 1,000 Employees
5+ years of experience
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Description For AI/ML and MLOps Field Engineer

Canonical is seeking an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. This role involves working with enterprise customers to solve complex problems in modern data architectures, such as training LLMs on multiple K8s clusters deployed on hybrid cloud infrastructure with GPU sharing across teams, processing millions of events in real-time for financial transactions, and performing object detection on thousands of parallel 4K video streams.

Key responsibilities include:

  • Working across the entire Linux stack, from kernel to applications
  • Architecting cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark
  • Delivering solutions on-premise or in public cloud (AWS, Azure, Google Cloud)
  • Collecting customer business requirements and advising on Ubuntu and relevant open source applications
  • Delivering presentations and demonstrations of Ubuntu Pro and AI/ML capabilities
  • Liaising with product teams to influence roadmap based on customer feedback
  • Collaborating with sales teams to reach common targets

The ideal candidate will have:

  • Exceptional academic track record
  • Experience in data engineering, MLOps, or big data solutions deployment
  • Proficiency in programming languages like Python, R, or Rust
  • Strong knowledge of Linux, virtualization, containers, and networking
  • Understanding of cloud computing concepts and leaders (Kubernetes, AWS, Azure, GCP)
  • Passion for large-scale enterprise open source technologies
  • Excellent interpersonal and presentation skills
  • Willingness to travel internationally up to 25% of the time

This role offers the opportunity to work with cutting-edge technologies, interact with a diverse range of businesses, and contribute to the development of the world's best open source data platform. Canonical provides a distributed work environment with twice-yearly team sprints, personal learning and development budget, and various other benefits.

If you're a software engineer who enjoys customer conversations, problem-solving, and working with the latest open source technologies in AI and data science, this role could be an excellent fit for you at Canonical.

Last updated a year ago

Responsibilities For AI/ML and MLOps Field Engineer

  • Work across the entire Linux stack, from kernel, networking, storage, to applications
  • Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark
  • Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud)
  • Collect customer business requirements and advise them on Ubuntu and relevant open source applications
  • Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients
  • Liaise with product teams to give them feedback on requirements to influence roadmap
  • Work collaboratively with your sales team to reach our common targets

Requirements For AI/ML and MLOps Field Engineer

Python
Kubernetes
Linux
  • Exceptional academic track record from both high school and university
  • Experience in data engineering, MLOps, or big data solutions deployment
  • Experience with a relevant programming language, like Python, R, or Rust
  • Practical knowledge of Linux, virtualisation, containers and networking
  • Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP
  • Intermediate level Python programming skills
  • Professional written and spoken English with excellent presentation skills
  • Experience with Linux (Debian or Ubuntu preferred)
  • Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings

Benefits For AI/ML and MLOps Field Engineer

Education Budget
  • 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
  • Priority Pass, and travel upgrades for long haul company events