Build reproducible machine learning models with CIBC’s Enterprise AI Infrastructure and ML Ops team during an eight-month co-op. Use Python and cloud knowledge.

As a Machine Learning Engineer Co-op, you will support MLOps strategy, enterprise governance, and secure AI/ML delivery across CIBC. You will help standardize capabilities, support technical activities, and build stakeholder influence. This opportunity suits students returning to full-time post-secondary studies.

Key Responsibilities:

- Collaborate on the team’s MLOps strategy
- Support adherence to enterprise governance requirements
- Refactor experimental notebooks into production-grade Python modules
- Assist machine learning model deployment and library maintenance
- Write documentation and practice test-driven development

Requirements:

- Current post-secondary enrollment and return to full-time studies
- Solid Python programming skills
- Knowledge of data science and machine learning
- Familiarity with PyData stack and other ML frameworks
- Azure and cloud-related knowledge

Apply machine learning, Python, MLOps, and documentation skills while supporting scalable AI/ML delivery at CIBC.

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📌 Machine Learning Engineer Co-op (Toronto)
🏢 CIBC
📍 Toronto