MLOps Field Engineer

Requisitos y responsabilidades

Contenido del rol extraído en secciones para revisar más rápido.

Details

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 30% of time for internal, external events and customer meetings.
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, virtualization, 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.
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

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
40 days annual leave per annum, including public holidays and our All Company holiday periods
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues
Priority Pass and travel upgrades for long-haul company events

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