MLOps Field Engineer
Canonical
About the position
Join a global team as an MLOps Field Engineer, helping companies leverage AI/ML with open source technologies. Engage with clients to design and implement cloud solutions tailored to their needs.
Tech stack
- kubernetes
- python
- linux
- aws
- azure
- gcp
Requirements
Required:
- 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, virtualization, containers and networking
- Business-minded technology thinker and problem solver
Nice to have:
- Exceptional academic track record from both high school and university
- Demonstrated personal interest in continuous learning and development
- Passion for technology evidenced by personal projects and initiatives
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
- Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients
Benefits
- Distributed work environment with twice-yearly team sprints in person
- Personal learning and development budget of USD 2,000 per year
- 40 days annual leave per annum, including public holidays and our All Company holiday periods
- Maternity and paternity leave