FreshJobs
AI/ML and MLOps Field Engineer at Canonical
Job Description
What your day will look like
The global Field Engineering team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs. They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. They are also software engineers who use Python to develop Kubernetes operators and Linux open-source infrastructure-as-code.
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
Grow a healthy, collaborative engineering culture in line with the company values
Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients
Liaise with product teams to give them feedback on requirements to influence roadmap
Work collaboratively with your sales team to reach our common targets
Global travel up to 25% of time for internal and external events and 25% to customer meetings
What we are looking for in you
Exceptional academic track record from both 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
Experience with a relevant programming language, like 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 & 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 in 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
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
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