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Enterprise Data Science: Concepts and Algorithms

INSY 674 075

Fridays 08:35 - 9:55 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 up-to-date 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 AreaCourse Title:

Enterprise Data Science: Concepts and AlgorithmsSubject Code:

INSY 674 075Location:

ARMST 260Schedule:

Fridays 08:35 - 9:55Deadline to Apply:

2026-09-10McGill 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].

📌 Course Lecturer (INSY 674 075) (Montreal)
🏢 McGill University
📍 Montreal