AIML and 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

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