MLOps Field Engineer - Remote

Overview

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

In Short

• Hiring an MLOps Field Engineer to help global companies embrace AI/ML.
• Focus on designing ML architectures for external customers.
• Work with technologies like Ubuntu, Kubeflow, MLFlow, Feast, and DVC.
• Collaborate with enterprise sales leads and deliver presentations.
• Global travel up to 30% of the time.

Requirements

• Experience in data engineering, MLOps, or big data solutions deployment.
• Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP.
• Intermediate level Python programming skills.
• Exceptional academic track record and a technical degree.
• Excellent interpersonal skills and ability to work in a multi-cultural environment.

Benefits

• Distributed work environment with team sprints in person.
• Personal learning and development budget of USD 2,000 per year.
• Annual compensation review and performance-driven bonuses.
• Maternity and paternity leave.
• Opportunity to travel to new locations to meet colleagues.