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Entry Level Artificial Intelligence Machine Learning Jobs in Ontario

Waabi

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

... artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature. - Work with large datasets from various sources as well as Waabi ...

Td

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $154,000 - $199,500 CAD The pay details ... We develop and deploy industry-leading machine learning systems that impact the lives of over 27 ...

CMR University

Professor & HOD, Artificial Intelligence & Machine Learning (AI & ML) * HOD, ECE * Assistant Professor, CSE * Assistant Professor, ECE * Assistant Professor, Mathematics * Assistant Professor ...

Larus Technologies

Data Scientist

Ottawa, ON · On-site

We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics. This is an opportunity to work on various data science problems, while communicating directly with ...

Boson AI

Machine Learning Engineer - Enterprise

Toronto, ON · On-site

CA$150K - CA$400K/yr

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field, or equivalent practical experience. * Strong contribution record on ...

Td

Research Machine Learning Scientist

Toronto, ON · On-site

CA$140K - CA$250K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $140,000 - $250,000 CAD The pay details ... We develop and deploy industry-leading machine learning systems that impact the lives of over 27 ...

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Entry Level Artificial Intelligence Machine Learning information

What is the difference between Entry Level Artificial Intelligence Machine Learning vs Data Analyst?

AspectEntry Level Artificial Intelligence Machine LearningData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; some certifications in AI/MLBachelor's in Statistics, Data Science, or related; certifications in data analysis tools
Work EnvironmentTech companies, R&D labs, startups; focus on developing AI/ML modelsBusiness, finance, healthcare; focus on interpreting data and generating reports
Employer & Industry UsageUsed in AI product development, automation, and researchUsed in business intelligence, reporting, and decision-making

Entry Level Artificial Intelligence Machine Learning roles focus on developing and implementing AI/ML models, often requiring programming skills and knowledge of algorithms. Data Analysts interpret data to provide insights, primarily working with data visualization and statistical tools. While both roles handle data, AI/ML positions are more technical and research-oriented, whereas Data Analysts focus on data interpretation for business decisions.

What are the most commonly searched types of Artificial Intelligence Machine Learning jobs in Ontario?

The most popular types of Artificial Intelligence Machine Learning jobs in Ontario are:

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Cities in Ontario with the most Entry Level Artificial Intelligence Machine Learning job openings:

Entry Level Artificial Intelligence Machine Learning jobs near you

Full-Time Faculty, MSc. Artificial Intelligence (AI) Program

International Business University

Toronto, ON

CA$110K - CA$120K/yr

Full-time

Re-posted 9 days ago

Job description

About IBU

International Business University (IBU) stands as Ontario's first independent not-for-profit university. Having received Ministerial consent for full accreditation in 2020 and DLI approval in 2023, IBU is Ontario's only not-for-profit independent University. Our foundation draws inspiration from the world's most esteemed independent universities, creating a 'next generation' model characterized by innovation, agility, and responsiveness. IBU is focused on being a truly student-centric, industry-aligned university, executing the best practices of today to build the future talent relevance of tomorrow. IBU is committed to curricula and learning experiences that seamlessly blend rigorous academic preparation with practical skill development, reflecting emerging technologies, evolving societal needs, and the future demands of the global workforce.

Job Title: Full-Time Faculty, MSc. Artificial Intelligence (AI) Program

# of Openings: 1 opening for the Industrial Innovation specialization or Data Engineering specialization

Term: Indefinite

Department: EDVP Office

Reports to: Academic Director

Location: Toronto, Ontario

Expected Salary: $110,000.00 - $120,000.00 per annum

Reporting to the Academic Director, the successful Full-time Faculty candidate will be responsible for high-quality curriculum development, delivery of the courses, and student support and mentorship in the Master of Science in Artificial Intelligence Program. The professor is also responsible for analysis of student performance and curricular trends, and internal and external communications.

The ideal candidate will also demonstrate a strong commitment to equity, diversity, inclusion and to the promotion of a respectful and collegial learning and working environment on the IBU campuses.

Qualifications:

  • Preference will be given to candidates with a terminal degree requirement and a demonstrated commitment to teaching and research.
  • PhD in Artificial Intelligence, Computer Science, Data Science, Machine Learning, or a closely related field is required.
  • Demonstrated track record of scholarly research, applied research, or industry engagement in AI-driven innovation.
  • Expertise in areas such as machine learning, deep learning, data engineering, intelligent systems, robotics, or applied AI solutions.
  • Experience teaching topics including Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Cybersecurity, Human-Computer Interaction, or AI applications in industry.
  • Demonstrated relevant academic background, research portfolio and a record of teaching excellence.
  • Experience with remote/online/hybrid instruction is desirable.

Application Process:

Application Packages should contain the following:

  • A cover letter
  • A current CV
  • A statement of teaching philosophy and evidence of teaching effectiveness (e.g., examples of peer and/or student evaluations)
  • A research plan (up to two single-spaced pages)
  • Sample publications or a research portfolio
  • Indigenization, Equity, Diversity and Inclusion (I-EDI) Statement
  • Contact information of three referees will be requested of longlisted candidates

Note: Application materials should be submitted as a single combined PDF file, with a file name that identifies the applicant.

Candidates shall address their application to: Dr. Pavlos Gkasis, Academic Director. This position is a new vacancy, and the posting remains open until the position is filled. The position is subject to budgetary approval. Any questions may be sent to careers@ibu.ca.

To support the overall well-being and success of our employees, IBU provides a comprehensive total rewards package which includes, based on role eligibility:

  • 100% employer paid extended Health & Dental benefits
  • 24/7 access to Employee & Family Assistance Program and Virtual Healthcare
  • Life, AD&D, and Long-Term Disability Insurance
  • Competitive paid time off, starting at 3 weeks
  • Tuition Benefit Program
  • Access to preferred corporate membership rates with GoodLife Fitness
  • Engaging employee appreciation and community-building events throughout the year

This position is based in a hybrid work arrangement, with employees working on-site four (4) days per week and the option to work remotely one (1) day per week, based on business needs. Employees will be required to come on-site as needed and are expected to reside in Ontario and within a reasonable commuting distance of the office/campus.

All applications submitted are reviewed in detail by our HR team. In certain aspects of the hiring process, artificial intelligence (AI) tools may be used, specifically for screening and assessments. These tools support our team and are used to help bring relevant criteria to the foreground and do not replace human judgment. We are committed to using AI responsibly, fairly, and in compliance with applicable employment and anti-discrimination laws. We regularly review these tools to help prevent bias or discrimination.
IBU values and embraces Diversity, Equality, Inclusion, and Accessibility as fundamental to our mission to educate students for career success in the business world today. Our desire is to ensure that our institution is a welcoming, inclusive, respectful, and safe environment for everyone. We are dedicated to fostering diversity and inclusivity within our community and are an equal-opportunity employer. We invite and encourage applications from all qualified individuals who would contribute to the further diversification of our Institution, including equity-deserving groups that are traditionally underrepresented in employment (Indigenous peoples, racialized persons, women, persons with disabilities, and 2SLGBTQQIPA+ persons). If you require an accommodation during the recruitment process, please contact careers@ibu.ca.