About the role#
The Enterprise AI Infrastructure & ML Ops team is hiring a Machine Learning Engineer Co-op for an 8-month term. You will work on the MLOps strategy and help implement the frameworks needed for secure, scalable AI delivery. This role focuses on standardizing technical capabilities and supporting the deployment of machine learning models.
What you'll do#
- Collaborate on MLOps strategy and enterprise governance.
- Refactor experimental notebooks into production-grade Python modules.
- Maintain internal Python libraries.
- Develop reproducible models.
- Practice test-driven development and maintain consistent code style and project standards.
- Write documentation and ensure code is properly annotated.
- Assist with model deployment tasks.
What you'll need#
- Current enrollment in post-secondary education with an intent to return to full-time studies.
- Strong programming skills.
- Knowledge of machine learning with Python, including the PyData stack and ML frameworks.
- Experience with Azure or other cloud platforms.
- Ability to work in a hybrid environment.
Location & details#
- Location: Toronto, Ontario.
- Employment type: Full-time, 8-month co-op.
- Work modality: Hybrid (details to be discussed during the interview).
- Compensation: This is a paid position.
About CIBC
CIBC is a public banking institution based in Toronto, Ontario. It provides services across retail banking, business banking, wealth management, and wholesale banking. The company employs over 48,000 people. It operates with a focus on delivering financial products to clients.
How to get in at CIBC
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