MLOps Field Engineer

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, 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.

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.