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Job Description
The MLOps Field Engineer at Canonical is responsible for designing and deploying AI and machine learning infrastructure solutions for enterprise clients, working closely with customers to solve complex data architecture problems using open source technologies on cloud and on-premise environments.
Key Responsibilities
- Design and deploy AI/ML infrastructure solutions for enterprise customers on cloud and on-premise environments
- Work hands-on with technologies such as Kubernetes, Kubeflow, OpenStack, and Spark to implement cloud solutions
- Collect customer requirements and advise on open source applications and cloud architectures
- Deploy, test, and hand over solutions to support or managed services teams
- Develop Kubernetes operators and Linux infrastructure-as-code using Python
- Deliver presentations and demonstrations of AI/ML capabilities to clients
- Collaborate with sales and product teams to influence roadmaps and achieve targets
- Travel internationally up to 30% for customer meetings, events, and internal team sprints
Requirements
- Exceptional academic track record from both high school and university, or a compelling narrative about an alternative chosen path
- Undergraduate degree in a technical subject or equivalent experience demonstrating relevant skills
- Experience in data engineering, MLOps, or big data solutions deployment
- Experience with a relevant programming language, such as Python, R, or Rust
- Practical knowledge of Linux, virtualization, containers, and networking
- Knowledge of cloud computing concepts including Kubernetes, AWS, Azure, and Google Cloud
- Intermediate level Python programming skills
- Experience with Linux Debian or Ubuntu preferred
- Ability to collect customer business requirements and advise on Ubuntu and relevant open source applications
- Ability to deliver presentations and demonstrations of Ubuntu Pro and AI ML capabilities to prospective and current clients
- Work across the entire Linux stack, from kernel, networking, storage, to applications, and architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, and Spark
- Experience deploying solutions on-premise or in public cloud environments
- Ability to liaise with product teams to give feedback on requirements to influence roadmap
- Ability to work collaboratively with sales teams to reach targets
- Willingness to travel internationally up to 30% of the time for internal, external events, and customer meetings
- Excellent written and spoken English with strong presentation skills
- Strong interpersonal skills, curiosity, flexibility, and accountability
- Self-motivated with a result-oriented approach and a drive to follow up and meet commitments
- Ability to work in a multi-cultural, multi-national organization with appreciation of diversity
- Thoughtfulness and self-motivation
- Ability to jump into new projects and interact effectively with people
- Willingness and ability to travel internationally for company events up to two weeks long
Benefits & Perks
Compensation/salary range is based on experience, performance, and location, with annual reviews and performance-driven bonuses or commissions
Distributed work environment with most colleagues working from home
Global travel up to 30% of time for internal, external events, and customer meetings
Annual holiday leave
Maternity and paternity leave
Team Member Assistance Program
Wellness Platform
Personal learning and development budget of USD 2,000 per year
Recognition rewards
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events
Ready to Apply?
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