Canonical is a leading provider of open source software and operating systems, known for its platform, Ubuntu. The company is focused on helping global enterprises embrace AI and machine learning by utilizing open source capabilities on public and private cloud infrastructures, Linux, and Kubernetes.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
As an MLOps Field Engineer, you will work with global companies to implement machine learning solutions, guiding them through complex data architecture challenges. This role is aimed at MLOps engineers who thrive in customer-facing environments, particularly during the presales cycle, and enjoy solving real-world customer problems through architecture, presentations, and training.
Responsibilities:
- Designing ML architectures for external customers
- Deploying, testing, and handing over cloud solutions to support teams
- Using Python to develop Kubernetes operators and infrastructure-as-code
- Collaborating with enterprise sales teams to meet common targets
What We Are Looking For:
- A technical background with an undergraduate degree or compelling narrative about your career path
- Experience in data engineering or MLOps, with familiarity in relevant programming languages (Python, R, or Rust)
- Practical knowledge of Linux, virtualization, containers, and networking
- Strong communication skills in professional written and spoken English
- A business-minded approach to technology and problem-solving
Language Requirements:
- Professional written and spoken English
Benefits:
- Competitive compensation with annual reviews
- Performance-driven bonuses or commissions
- Personal development budget of USD 2,000 per year
- Distributed work environment with team sprints and opportunities for travel
- Annual holiday leave and family leave options
At Canonical, you will be part of an innovative team committed to shaping the future of open source technology. Join us in redefining the software landscape and driving enterprise success through AI and ML.
