Mlops Field Engineer

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.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, Kubeflow, MLFlow, Feast, DVC, and related analytics, machine learning, and data technologies.
We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as the machinery which turns data into insights and executable models.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 external customers.
It is not a software development role.This role#J-18808-Ljbffr