AI/ML and MLOps Field Engineer

Summary

Join our global Field Engineering team as an AI/ML and MLOps Field Engineer to help companies embrace AI in their business, using the latest open source capabilities on public and private cloud infrastructure. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies.

Requirements

• 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

Responsibilities

• 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

Benefits

• 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