Course Lecturer (INSY 684 076)

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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 [email protected]

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, [email protected] .