AI/ML and MLOps Field Engineer

3 weeks ago

London, Greater London, United Kingdom Canonical Full time

At Canonical, we're seeking an exceptional professional to join our global Field Engineering team as an AI/ML and MLOps Field Engineer. This role offers a unique opportunity to work with our customers to help them adopt AI and machine learning in their businesses, leveraging the latest open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes.

About the Role

As an AI/ML and MLOps Field Engineer, you will work closely with our customers to design and deploy AI and machine learning solutions that meet their specific needs. You will have the opportunity to work on a wide range of projects, from data processing pipelines to multi-cluster distributed training, and will be responsible for collecting customer business requirements and advising them on Ubuntu and relevant open source applications.

Responsibilities

  • 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
  • Grow a healthy, collaborative engineering culture in line with the company values
  • 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
  • Global travel up to 25% of time for internal and external events and 25% to customer meetings

Requirements

  • Exceptional academic track record from both high school and university
  • Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
  • Experience in data engineering, MLOps, or big data solutions deployment
  • Experience with a relevant programming language, like Python, R, or Rust
  • Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
  • Track record of going above-and-beyond expectations to achieve outstanding results
  • Demonstrated personal interest in continuous learning and development
  • Practical knowledge of Linux, virtualisation, containers and networking
  • Business-minded technology thinker and problem solver
  • Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP
  • Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics
  • Intermediate level Python programming skills
  • Passion for technology evidenced by personal projects and initiatives
  • The work ethic and confidence to shine alongside motivated colleagues
  • Professional written and spoken English with excellent presentation skills
  • Experience with Linux (Debian or Ubuntu preferred)
  • Excellent interpersonal skills, curiosity, flexibility, and accountability
  • A dynamic person who loves to jump in new projects and interact with people
  • Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
  • Thoughtfulness and self-motivation
  • Result-oriented, with a personal drive to follow up and meet commitments
  • Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings

What You'll Learn

  • Architect and deploy AI/ML infrastructures, data processing pipelines and multi-cluster distributed training
  • Wide range of open source applications and skills
  • Work directly with customers in a range of different businesses
  • Real-life and hands-on exposure to a wide range of emerging technologies and tools

What We Offer Colleagues

  • Distributed work environment with twice-yearly team sprints in person
  • Personal learning and development budget of USD 2, 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

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