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Job Title


Professor, Part-Time (Machine Learning Operations - MLOps) - Machine Learning &


Company : Seneca Polytechnic


Location : Toronto, Ontario


Created : 2026-01-22


Job Type : Full Time


Job Description

Position Professor, School of Software Design & Data Science Overview Join the renewed Seneca, the next Seneca. Seneca Polytechnic offers a flexible working environment that supports innovative thinking and encourages exploring new ideas and approaches. As we adapt to an everchanging landscape, we continue to promote opportunities for career growth and development. We focus on health and wellbeing in all ways to provide a great employee experience. Our equity focus: We welcome applications from candidates who can contribute to the diversity of lived experiences, perspectives and approaches. Joining Seneca means being part of an inclusive community working hard to dismantle barriers to access, student success, and employee potential. If you require accommodation during any part of the recruitment process, please contact [email protected]. Do you believe in the power of education to transform lives and communities? Are you passionate about shaping the next generation of careerready and worldready individuals? If so, Seneca invites you to join our dynamic faculty in redefining the boundaries of teaching and learning. As a professor at Seneca, you''''ll have the opportunity to be at the forefront of experiential learning, working closely with industry partners to provide students with realworld insights, while also demonstrating teaching excellence, academic leadership, and expertise in curriculum development. Whether through entrepreneurship initiatives, applied research projects, or coop placements, youll play a pivotal role in shaping the future of our students. About the Program Faculty/School School of Software Design & Data Science Program/Courses MAI201 Master of Artificial Intelligence Design and Development (MAI) for Machine Learning Operations courses Campus Newnham We welcome applications for parttime teaching opportunities. Course assignments are based on scheduling and instructional needs. Contract faculty typically teach up to 6 hours per week. While some courses may be offered online or in a hybrid format, availability for oncampus teaching is often preferred. Please include your availability when applying. Responsibilities Ensure student awareness of course objectives, approach, and evaluation techniques. Carry out regularly scheduled instruction, which may include tutoring and academic counselling of students. Provide a learning environment that makes effective use of available resources, work experience and field trips. Evaluate student progress and achievement and assume responsibility for the overall assessment of the students work within assigned courses. Qualifications Education Ph.D. in Computer Science, Data Science, Artificial Intelligence/Machine Learning, or a closely related field. Demonstrated expertise through research contributions or publications in areas such as ML deployment, model lifecycle management, or related domains. Prior experience teaching graduatelevel courses or delivering technical workshops in advanced topics. Experience Experience in the subjects taught is a requirement. Demonstrated expertise through research contributions or publications in fields such as machine learning deployment and model lifecycle management. Prior experience teaching graduatelevel courses or delivering technical workshops in advanced topics. Handson experience deploying ML models in production environments. Worked on projects involving scalability, reliability and automation of ML workflows. Collaborated with crossfunctional teams (Data Engineering, DevOps). Skills Excellent communication and interpersonal skills. Demonstrated exceptional presentation, communication, organisational, and interpersonal skills. Commitment to a team approach for problemsolving and conflict resolution. Strong relationships with industry contacts and network connections are an asset. Commitment to equity in education. Job Details External Posting Date January 13th,2026 External Closing Date Posted until filled Pay Range Dependent on experience Hours TBC Work Type Flex Delivery inperson, online, hybrid and flexible Shift TBC Number of Openings 1 Posting Intent Immediate Need Job Type PartTime, Temporary Note: As part of our preemployment process we validate employment and education credentials at the time of an offer. For professor positions we require copies of official transcripts directly from the issuing institution or a credential evaluation from WES or ICAS. Candidates may gather supporting documentation in advance to support their applications. About Seneca Polytechnic Seneca is Canadas leading, and Ontario''''s first, polytechnic with more than 40,000 fulltime students and 18,500 parttime students. We remain dedicated to getting our students career and worldready. Our workforcefaculty, support staff and administratorsshows commitment to student success every day. The student experience, the employee experience, the community experience, and the Seneca experience set us apart. Our Commitment We are proud to be building an equitable Seneca, welcoming applications from individuals who can enrich our community. Learn more about how we are building an equitable Seneca. Accessibility Seneca is committed to making employment opportunities accessible in accordance with the Accessibility for Ontarians with Disabilities Act,2005. Accommodation will be provided upon request for all parts of the application and hiring process. If you require accommodation, please contact [email protected]. #J-18808-Ljbffr