APTPUO-Fall 2025-DTI6302 F
200 Lees Block E, Canada
University of Ottawa
Location:
Main CampusSession:
2025 Fall Semester | Trimestre d'automneFaculty:
Faculté de génie / Faculty of EngineeringUnit:
School of Engineering Design and Teaching Innovation_PTCourse Title:
Internet Technologies and Mobile CommerceCourse Code:
DTI6302Section:
FCourse Description:
Posting limited to:
Professeur à temps-partiel régulier / Regular Part-Time ProfessorDate Posted:
May 21, 2025Applications must be received BEFORE:
June 21, 2025Expected Enrolment:
75Approval date:
May 21, 2025Number of credits:
3Work Hours:
39Course type:
BPosting type:
Régulier / RegularLanguage of instruction:
Anglais | EnglishCompetence in second language:
PassiveCourse Schedule:
Jeudi | Thursday 17:30-20:30 - -Requirements:
Priority will be given to applicants who are in the process of completing a PhD in Digital Transformation and Innovation, Computer Science, or Electrical Engineering. The applicant must possess a minimum of three years of industry experience in a senior or lead role as a machine learning engineer. They should have hands-on experience applying the latest MLOps techniques, such as continuous integration, model and data versioning, automated retraining, and model updating, specifically within the framework of an industry project. Additionally, the applicant must have comprehensive experience with state-of-the-art, cloud-based machine learning development environments, including Amazon SageMaker and Databricks Unified Analytics Platform. The applicant must be highly knowledgeable in the latest deep learning architectures, including CNNs, LSTMs, and transformers.
Additional Information and/or Comments:
An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.
The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.
The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.
Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 – Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Databricks Deep Learning Engineering Machine Learning MLOps PhD Research SageMaker Teaching Transformers
Perks/benefits: Career development
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