Machine Learning Engineer Co-op: MLOps & AI Platform

CIBC; Toronto; Hybrid; CAD 16,000 - 22,000; Part time

Benefits offered by this job

MomentMakers program

Employee and family assistance program

Wellbeing support

Banking benefit

Job summary

CIBC is seeking a Machine Learning Engineer Co-op in Toronto. You will contribute to MLOps, refactor notebooks into production-grade modules, and support deployment of ML models while maintaining Python libraries.

Ideal candidates are enrolled in post-secondary education, returning to full-time studies, and comfortable with cloud tools, Git/GitHub, and DevOps practices. The role blends on-site and remote work, and lasts eight months.

Qualifications

• Knowledge of data science and machine learning with Python and the PyData stack.
• Cloud knowledge (Azure) and data engineering concepts.
• Hands-on with end-to-end ML solutions and version control tooling.

Responsibilities

• Develop reproducible ML models for production use.
• Refactor notebooks into production-grade Python modules.
• Assist deployment of ML models and maintain internal Python libraries.
• Adhere to coding standards, tests, and proper documentation.
• Collaborate with stakeholders across teams to align on requirements.

Skills

Python

Machine Learning

GitHub Actions

DevOps

Generative AI

Software Development

Azure

Education

Post-secondary student (enrolled and returning to full-time studies)

Tools

Git

GitHub

Azure

Job description

CIBC is seeking a Machine Learning Engineer Co-op in Toronto. You will contribute to MLOps, refactor notebooks into production-grade modules, and support deployment of ML models while maintaining Python libraries.

Ideal candidates are enrolled in post-secondary education, returning to full-time studies, and comfortable with cloud tools, Git/GitHub, and DevOps practices. The role blends on-site and remote work, and lasts eight months.