Machine Learning Advisor

Posting End Date

June 06, 2025

Regular-Full time

This is a non-union position

We’re looking for someone with a solid foundation in software engineering and a growing interest in machine learning operations. You should be eager to learn, experiment, and contribute to the development of reliable systems by writing high-quality, maintainable code. Familiarity with unit testing and best practices for ensuring code quality is important, as you’ll help ensure that ML solutions are robust, scalable, and ready for production.

This is a great opportunity to deepen your technical skills, work with ground breaking AI technologies, and help shape the future of intelligent systems. If you're excited to learn, build, and make an impact—we'd love to hear from you!

Who You Are You have:

You Can

You Are

+ Experience with DevOps Platforms such as Azure DevOps and GitHub Enterprise automating software development lifecycle + Cloud AI Development Platform: Databricks, Microsoft Azure + Programming skills in languages such as Python + ML Frameworks/Libraries: scikit-learn, MLFlow, TensorFlow or Py Torch + IDE: Visual Studio Code

Working Conditions

Physical Requirements Include But Are Not Limited To

Grasping, kneeling, light – moderate lifting (objects up to 20 pounds), reaching above shoulder, repetitive motion, typing, sitting, standing, visual requirement (able to see screens, detect color coding, read fine print), hearing requirement and the ability to sit at a computer for long periods of time.

Ability to: understand, remember and apply oral and/or written instructions or other information, understand complex problems and collaborate/explore alternative solutions, organize thoughts and ideas into understandable terminology, organize and prioritize work schedule on a short-term basis, make decisions which have moderate impact on the immediate work unit and monitor impact outside this area, understand and follow basic instructions and guidelines, complete routine forms, compose letters, outlines, memoranda and basic reports and communicate with individuals via telephone.

At Enbridge, we are dedicated to our core value of Inclusion. We are proud to be an Equal Opportunity Employer. We are committed to providing employment opportunities to all qualified individuals, without regard to age, race, color, national or ethnic origin, religion, sex, sexual orientation, gender identity or expression, marital status, family status, veteran status, Indigenous status, disability, or any other reason protected by federal, state, or local law. Applicants with disabilities can request accessible formats, communication supports, or other accessibility assistance by contacting careers@enbridge.com.

To learn more about us, visit www.enbridge.com