Professor, Artificial Intelligence - Scarborough, Canada - Centennial College

Centennial College

Verified Company

Scarborough, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Part time

Description

Job Number:

J Job Title:
Professor, Artificial Intelligence (Part-time, Contract)
Job Type:

Temp PT, Academic

Bargaining Unit:

Non-bargaining

School/Department:
Academic
Campus:
Progress Campus
Location:
Greater Toronto Area
Hours/Week:
Approx

4-16 hrs/week- Shift Schedule:

TBD
Date Posted:

April 17, 2024

Closing Date:
May 1, 2024
Salary: As per College Policy

Contract Duration:
Fall 2024 (September - December) with possibility of extension

We also recognize that Centennial is situated on the Treaty Lands of the Mississaugas of the Credit First Nation and pay tribute to their legacy as well as that of all First Peoples that have been and remain present here in Toronto.

We recognize that First Peoples come from sovereign Nations and that part of understanding our responsibilities of residing on this territory are understanding the true history, circumstances and legacy of the Treaties signed here (such as the Toronto Purchase, Robinson-Huron Treaty and Williams Treaties) and including pre-contact Treaties and Agreements between sovereign Nations and that all peoples in this area are therefore Treaty people with obligations and responsibilities to all our relations.

Position Summary

Responsibilities

Teach using a variety of strategies to support studentcentered learning.
Demonstrate interpersonal communication and knowledge of cultural competency in interactions with the public, colleagues, other professionals and students in internal and external educational and practice settings
Develop, revise and adapt appropriate learning resources for students
Evaluate student achievement of learning outcomes using a variety of techniques
Engage students to create a positive teaching and learning environment
Demonstrate an ability to work in a teambased work environment
Use academic technology effectively to enhance and support learning
Provide and promote a respectful and supportive environment based upon the principles of inclusion, equity and diversity
Attend meetings and maintain records of student grades/assessments

Qualifications/Experience

Bachelor's degree in Computer Science, Applied Mathematics, Statistics, or related field.
Three years of industry work experience as machine learning engineer, data scientist, or related
Previous teaching experience at the postsecondary level is an asset.
Technical expertise in two or more of the following: machine learning theory, predictive modeling lifecycle, machine learning models, NLP, reinforcement learning, recommendation systems, deep learning frameworks (TensorFlow, PyTorch, etc.), ETL and big data technologies (Spark, etc.), cloud computing platforms (AWS, Azure, etc.), Python programming, SQL NoSQL databases
Experience in teaching and course material development is an asset.
Demonstrated competent written, oral and interpersonal skills.
Demonstrated ability to work with a team.
Demonstrated understanding of diversity, equity and inclusion to meet the needs of our diverse students, staff and college community.

Proof of credentials or equivalencies from accredited regional or federal post secondary institutions and/or their foreign equivalents will be required at the time of job offer.

When applying, your cover letter and résumé must include examples that reflect all of the requested skills and qualifications
and must be submitted online by May 1, 2024 at 11:59 PM EST.

Please quote J Misrepresentation of applicant information will be grounds for your exclusion from the competition or for dismissal should you subsequently be hired for the position.

We wish to thank all applicants for their interest and advise that only those selected for an interview will be contacted.

We are committed to providing persons with disabilities equal opportunities regarding all employment activities, including access to jobs and accommodations during employment as required, in accordance with the Ontario Human Rights Code (OHRC) and the Accessibility for Ontarians with Disabilities Act (AODA).