Machine Learning Advisor
Machine Learning Advisor
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Job Description
Posting End Date:
June 06 2025Employee Type:
Regular-Full timeUnion/Non:
This is a non-union positionThe Technology Innovation Lab is looking for a Machine Learning Advisor to help integrate and optimize machine learning models in production environments. In this role youll contribute to deploying models through effective MLOps practices working alongside experienced data scientists and engineers to bridge the gap between experimentation and real-world applications.
Were 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 youll 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 youre excited to learn build and make an impactwed love to hear from you!
What you will do:
- Build automated workflows for ETL data engineering data cleaning and transformation model training and evaluation
- Define and manage MLOps processes for registering and deploying models to production environments
- Leverage software engineering patterns such as Object-Oriented programming and Test-Driven Development
- Develop automated processes to monitor production model performance including model and data drift
- Focus on continuing to fine-tune and optimize model performance through experiments with feature engineering hyper-parameter tuning and model architecture change
- Proactively monitor issues and implement fixes/improvements in the model and their respective computing environments
- Stay up to date with the latest advancements in machine learning and software development to continuously improve our solutions
- Collaborate with multi-functional teams including technical leads data scientists software engineers and product owners to integrate machine learning solutions into production systems
- Document and communicate optimal approaches recommendations and technical standards around ML
Who you are:
You have:
- 4 years of experience in a Software Engineering role along with a degree in computer science engineering or another related subject area and an understanding of machine learning concepts and techniques within the ML development lifecycle
- Architectural knowledge of Generative AI solutions using LLMs and architecture such as agentic and RAG
You can:
- Show proven experience in developing documenting and communicating effective strategies best practices and tools for software development (i.e. version control testing and CI/CD)
You are:
- Proficient in using the following software/tools:
- 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:
- Work performed in typical office environment with occasional travel to other lab locations
- Enbridge provides competitive workplace programs that differentiate us and offer flexibility to our team members. Enbridges FlexWork (Hybrid Work Model) offers eligible employees the opportunity to work variable daily schedules with a flexible start and end time to opt for a compressed workweek schedule or the option to work from home on Wednesdays and Fridays. Role requirements determine your eligibility for each option.#LIHybrid #joinourteam
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.
Mental Requirements (Both Field & Office) include but are not limited to:
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.
Company paid international relocation assistance is not offered for this role.
At Enbridge we are dedicated to our core value of are proud to bean 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 with disabilities can request accessible formats communication supports or other accessibility assistance by contacting .
Information For Applicants:
Applications can be submitted via our online recruiting system only.
We appreciate your interest in working with us; however only those applicants selected for interviews will be contacted.
Final candidates for this position may be required to undergo a security screening including a criminal records check.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
