Course Lecturer (INSY 684 076)

Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Enterprise Machine Learning in Production INSY 684 076 Fridays 16:05 -17:25 Start Date: August 31, 2026 End Date: December 4, 2026 CL Credits: 1.5 Number of Class Hours: 19.5 Remuneration: $5,912.00 Deadline to apply: September 10 @ 10:30am The Desautels Faculty of Management is inviting applications to teach a course in Fall 2026. Please complete the online application form and upload required documents. Applications will be ranked according to the collective agreement between McGill University and the MCLIU. Preference will be given to the qualified applicant with the most priority points. Teaching Qualification Requirements: Education : A graduate degree in computer science, data science, engineering, information systems, or a related discipline; or equivalent substantial professional experience Strong practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML/AI systems Familiarity with modern MLOps practices and tools for experiment tracking, pipelines, model deployment, monitoring, and reproducibility Experience with relevant technologies such as Python, Spark, Docker, Kubernetes, MLflow, cloud ML platforms, or comparable technologies An understanding of the architectural and organizational considerations involved in deploying AI at enterprise scale Other : The ability to translate technical concepts into applied learning experiences for graduate students Industry experience building, deploying, or managing enterprise AI/ML products is particularly valued. Previous teaching experience is an asset but is not required for candidates with strong technical and professional experience. University teaching experience. Location ARMST 260 For any questions, please contact Hiring Unit: Desautels Faculty of Management - Information Systems Area Course Title: Enterprise Machine Learning in Production Subject Code: INSY 684 076 Location: ARMST 260 Schedule: Fridays 16:05 -17:25 Deadline to Apply: 2026-09-10 McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, .