Apply machine learning theory and programming as a Teaching Assistant at the University of Ottawa's Main Campus for winter 2027. Support students through contact, grading, and exams.

This CUPE Teaching Assistant supports Foundations and Applications of Machine Learning. The course serves the Faculty of Engineering's School of Engineering Design and Teaching Innovation. Solid knowledge of feature engineering, supervised and unsupervised learning, evaluation metrics, and machine learning programming is required.

Key Responsibilities

- Provide 28 hours of contact with students
- Complete 32 hours of grading
- Proctor mid-term and final examinations
- Support a course with expected enrolment of 70

Requirements:
- Excellent knowledge of machine learning theory and applications
- Knowledge of feature engineering methods
- Knowledge of supervised and unsupervised learning methods
- Knowledge of evaluation strategies and metrics
- Experience with machine learning programming

Use your machine learning expertise, programming experience, and assessment skills supporting students during the 2027 winter semester.

📌 Machine Learning Teaching Assistant (Quebec City)
🏢 University of Ottawa
📍 Quebec City