Enterprise Data Science: Concepts and Algorithms

INSY 674 076

Fridays 14:35 - 15:55

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

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

Hiring Unit

Desautels Faculty of Management - Information Systems Area

Course Title

Enterprise Data Science: Concepts and Algorithms

Subject Code

INSY 674 076

Schedule

Fridays 14:35 - 15:55

Deadline to Apply

2026-09-10

Equity and Diversity Statement

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] .

Contact

For any questions, please contact [email protected]

📌 Course Lecturer (INSY 674 076) (Montreal)
🏢 McGill University
📍 Montreal