AI/ML and MLOps Field Engineer

AI/ML and MLOps Field Engineer

Location: Global (EMEA, Americas, APAC)

About Canonical

Canonical is a leading provider of open-source software and operating systems for enterprise and technology markets. Our flagship product, Ubuntu, is widely used in cutting-edge enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include top public cloud and silicon providers, as well as industry leaders across various sectors. With over 1,000 colleagues in 70+ countries, we pioneer global distributed collaboration, meeting in person only a few times yearly.

Role Overview

We’re hiring an AI/ML and MLOps Field Engineer to help global companies leverage AI in their business using the latest open-source tools on public and private cloud infrastructure, Linux, and Kubernetes. Our team tackles real-world customer challenges, enabling enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related technologies. We aim to create the world’s best open-source data platform, supporting traditional SQL databases and modern NoSQL data stores, as well as data-to-insight workflows.

Key Responsibilities

• Solution Architecture: Design and deploy cloud infrastructure solutions including Kubernetes, Kubeflow, OpenStack, and Spark, both on-premise and in public clouds (AWS, Azure, Google Cloud).
• Customer Engagement: Collect business requirements, deliver presentations, and demonstrate AI/ML capabilities to clients.
• Hands-on Development: Work across the Linux stack, develop Kubernetes operators and Linux infrastructure-as-code using Python.
• Collaboration: Work closely with sales teams to meet common targets, liaise with product teams to influence the roadmap, and foster a collaborative engineering culture.
• Travel: Global travel up to 25% for internal and external events, and customer meetings.

Qualifications

Basic Qualifications:

• 4+ years of experience in machine learning engineering, data research, or data engineering.
• Experience with data-oriented tasks for cybersecurity or anti-fraud solutions.
• Proficiency in programming languages like Python, R, or Rust.
• Practical knowledge of Linux, virtualization, containers, and networking.
• Ability to obtain a security clearance.
• Bachelor’s degree.

Preferred Qualifications:

• Experience developing and supporting cybersecurity solutions with data science or ML.
• Experience leading technical solutions and teams.
• Familiarity with SIEM technologies like Splunk or Elasticsearch.
• Intermediate-level Python programming skills.
• Experience with cloud computing concepts and leaders like Kubernetes, AWS, Azure, GCP.

What We Offer

• Professional Growth: Opportunities for continuous learning, upskilling programs, mentoring, and firm-sponsored networking.
• Flexibility: Distributed work environment with the option for remote and hybrid locations.
• Compensation: Competitive salary, annual performance bonus, and benefits tailored to local needs.
• Work-Life Balance: Generous holiday leave, parental leave, wellness programs, and a personal learning and development budget.
• Global Community: Opportunities to travel and meet colleagues, fostering a diverse and inclusive workplace.

About Canonical

Canonical is at the forefront of the global move to open source. As the publisher of Ubuntu, we are revolutionizing the world of software. Since our inception in 2004, we have maintained a distributed work model, encouraging our employees to think differently, work smarter, and continually learn new skills. We are committed to fostering a diverse and inclusive workplace, ensuring all applications receive fair consideration.

Join Canonical and take your career to the next level. Embrace the challenge, drive innovation, and make an impact on the global tech landscape. Apply now!