A on-site Data & ML role at CIBC.
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Original listing text, shown exactly as published by the company.
As a Machine Learning Engineer on the AI Infrastructure & ML Ops team, you'll play a key role in advancing our enterprise machine learning platform. You'll design, build, and maintain robust MLOps workflows, automate pipelines for data ingestion, training, validation, and deployment, and ensure our processes are compliant and audit-ready. You'll collaborate closely with developers, technology teams, and product owners to integrate machine learning solutions into production environments, ensuring reproducibility and traceability throughout the ML lifecycle. Your expertise will help drive enhancements across our platform, and you'll actively contribute to a culture of experimentation, continuous improvement, and knowledge sharing. As part of a collaborative and inclusive team, you'll mentor peers and support junior members, helping us stay at the forefront of emerging ML tools and techniques.
At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.
How you'll succeed
What CIBC Offers
At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.
*Subject to plan and program terms and conditions
What you need to know
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CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com
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CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.
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You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.
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We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).
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We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.
Job Location
Toronto-81 Bay, 16th Floor
Employment Type
Regular
Weekly Hours
37.5…
CIBC
Data & ML
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