MLOps Field Engineer

CanonicalCanonical·Remote(Home based - Worldwide)·Work From Anywhere
Data & Analytics
Excel

WFA Digital Insight

As demand for AI and ML specialists continues to surge, roles like MLOps Field Engineer are increasingly sought after. With the rise of open-source technologies, companies like Canonical are at the forefront of innovation. To succeed in this field, candidates need strong technical backgrounds, business acumen, and excellent problem-solving skills. Before applying, it's essential to understand the complexities of modern data architectures and the latest open-source capabilities.

Job Description

About the Role

Canonical is seeking an MLOps Field Engineer to help global companies adopt AI/ML solutions using the latest open-source technologies on public and private cloud infrastructure, Linux, and Kubernetes.

Responsibilities

  • Design ML architectures for external customers
  • Apply expert insights to real-world customer problems, enabling enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related analytics, machine learning, and data technologies.

Requirements

  • Technical background with business acumen
  • Experience with Excel
  • Ability to solve complex problems in modern data architectures

Nice to Have

  • Knowledge of Linux, Kubernetes, and open-source data platforms

How to Stand Out

  • Be prepared to discuss your experience with AI/ML architectures and how you've applied them to solve real-world problems.
  • Showcase your understanding of the latest open-source technologies, including Linux and Kubernetes.
  • Highlight your ability to communicate complex technical concepts to non-technical stakeholders.
  • Emphasize your problem-solving skills, particularly in the context of modern data architectures.
  • Be ready to provide examples of your work, such as designing and implementing ML solutions for previous clients.

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