AI and MLOps Field Engineer

4 weeks ago


Dubai, Dubai, United Arab Emirates Canonical Full time

Job Requirements

  • Exceptional academic track record from 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
  • Proficiency in a relevant programming language, such as 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 and 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 into 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 2,000 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

Join Canonical and take your career to the next level

Why Canonical?

  • We're a global company with a diverse and inclusive culture
  • We're passionate about open-source and innovation
  • We offer a competitive salary and benefits package
  • We provide opportunities for professional growth and development


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