About the Job
The company is founder-led, profitable, and growing.
We are hiring an MLOps Field Engineer to help global companies embrace AI/ML in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kub...
The people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for...
Required Skills & Abilities
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.
