Job Description
The Academic Assistant will support the instructor in a 12-week course, Practical Approaches in Machine Learning, held on Tuesdays from 6:30-9:30pm. The role involves leading lab sessions, demonstrating and explaining tool use, assisting students with technical procedures, and implementing course-related questions.
• Leading 12 lab sessions, including demonstrations and explanations of tools, helping students with technical procedures, and assisting with course-related questions.
• Grading assignments and providing feedback to students.
• Monitoring and participating in the discussion board within the course shell.
• Conducting review sessions for mid-term and final exams as required.
• Meeting with instructors to discuss course progress and planning.
Qualifications:
• Enrolled in a Masters or Ph.D. program, with preference given to Doctoral students, then Master's students.
• Overall academic performance at B+ and above.
• Design and implementation of non-trivial programs in Python.
• Background in computer science or a closely related field.
• Strong working knowledge of traditional machine learning models and Python data science libraries.
• Completed at least two data science or machine learning projects.
• Hands-on experience with Microsoft Azure virtual machines or labs.
Applicants not registered as TMU students will be considered where no qualified TMU student is available. The GA/TAs must attend all lab sessions and be fully prepared for each session.
