MLOps Field Engineer
Description For MLOps Field Engineer
Canonical, the company behind Ubuntu, is seeking a MLOps Field Engineer to help global enterprises implement AI/ML solutions using cutting-edge open source technologies. This role combines technical expertise in MLOps, cloud infrastructure, and Linux with customer-facing responsibilities. As part of a global distributed team of 1000+ colleagues across 70+ countries, you'll architect and deploy ML infrastructures, work with technologies like Kubeflow, MLFlow, and Kubernetes, and solve complex problems such as training LLMs on multiple clusters and processing massive-scale data. The position offers significant learning opportunities, global travel for team meetings and customer interactions, and a comprehensive benefits package including education budget and flexible remote work. Canonical's commitment to open source innovation and global collaboration makes this an exciting opportunity for technically skilled professionals who enjoy customer interaction and solving complex enterprise challenges.
Responsibilities For 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
- Liaise with product teams to give feedback on requirements
- Work collaboratively with sales team to reach common targets
- Global travel up to 30% of time for internal, external events and customer meetings
Requirements For MLOps Field Engineer
- Exceptional academic track record
- Undergraduate degree in a technical subject
- Experience in data engineering, MLOps, or big data solutions deployment
- Experience with Python, R, or Rust
- Practical knowledge of Linux, virtualisation, containers and networking
- Knowledge of cloud computing concepts & leaders
- Intermediate level Python programming skills
- Professional written and spoken English
- Experience with Linux (Debian or Ubuntu preferred)
- Ability to travel internationally
Benefits For MLOps Field Engineer
- Distributed work environment with twice-yearly team sprints
- 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
- Priority Pass and travel upgrades for long haul company events
