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Entry Level Computer Science Artificial Intelligence Jobs in Toronto, ON

PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or Operations Research . * Focus on automated planning / symbolic AI . * High attention to detail

Data Scientist I

Toronto, ON · On-site

CA$69K - CA$98K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $69,700 - $98,400 CAD TD is committed ... This role offers an excellent opportunity to build expertise in data science, cloud technologies ...

Master's degree data science, artificial intelligence, computer science or equivalent experience Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest ...

Bachelor's in Computer Science, Artificial Intelligence, or a related technical field. * Strong communication skills and experience working in interdisciplinary or team-based environments. * Solid ...

Bachelor's in Computer Science, Artificial Intelligence, or a related technical field. * Strong communication skills and experience working in interdisciplinary or team-based environments. * Solid ...

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

... artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and ...

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Entry Level Computer Science Artificial Intelligence information

Is artificial intelligence taking entry-level computer science jobs?

Entry-level computer science jobs involving artificial intelligence are growing as companies seek new talent with skills in machine learning, programming, and data analysis. However, competition remains high, and candidates with relevant internships, certifications, or knowledge of AI tools like Python and TensorFlow have better prospects. Staying current with industry trends and developing practical skills are important for entry-level applicants in this field.

What is the difference between Entry Level Computer Science Artificial Intelligence vs Entry Level Data Science?

AspectEntry Level Computer Science Artificial IntelligenceEntry Level Data Science
Required CredentialsBachelor's in Computer Science, AI, or related fields; knowledge of programming, machine learning, and algorithmsBachelor's in Data Science, Statistics, or related fields; skills in programming, statistics, and data analysis
Work EnvironmentTech companies, research labs, startups focusing on AI applicationsBusiness, finance, healthcare, and tech firms analyzing data for insights
Employer & Industry UsageUsed in AI development, machine learning projects, and automationUsed in data analysis, predictive modeling, and business intelligence

Both roles require programming skills and a strong foundation in computer science. While AI focuses on developing intelligent systems and algorithms, data science emphasizes analyzing data to inform decisions. The choice depends on your interest in creating AI solutions versus extracting insights from data.

What is an entry level computer science artificial intelligence job?

Entry Level Computer Science Artificial Intelligence jobs are positions designed for recent graduates or individuals with limited professional experience in computer science, specifically focusing on artificial intelligence (AI). These roles typically involve assisting in the development, testing, and deployment of AI models and algorithms under the guidance of more experienced engineers or data scientists. Tasks may include data preprocessing, writing code for machine learning models, evaluating model performance, and collaborating with teams to solve real-world problems using AI. Entry-level AI jobs provide an opportunity to gain practical experience, learn industry-standard tools and frameworks, and build foundational skills for a career in artificial intelligence.

What types of projects can I expect to work on as an entry level computer science artificial intelligence professional?

As an entry-level AI professional, you’ll typically contribute to projects involving data preprocessing, model training, and algorithm implementation under the guidance of senior team members. You might work on tasks like cleaning datasets, developing and testing machine learning models, and assisting in deploying AI solutions. Collaboration with software engineers, data scientists, and product managers is common, providing you with a well-rounded introduction to real-world AI development and teamwork. These projects help you build foundational skills while gaining exposure to various AI applications and industry tools.

What are the key skills and qualifications needed to thrive as an entry level computer science artificial intelligence professional?

To excel in an entry-level AI role, you need a solid understanding of computer science fundamentals, programming languages like Python, and basic knowledge of algorithms and data structures, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective teamwork set candidates apart in this field. These abilities are crucial for building robust AI solutions, adapting to technological advances, and collaborating efficiently on complex projects.
What are the most commonly searched types of Computer Science Artificial Intelligence jobs in Toronto, ON? The most popular types of Computer Science Artificial Intelligence jobs in Toronto, ON are:
What are popular job titles related to Entry Level Computer Science Artificial Intelligence jobs in Toronto, ON? For Entry Level Computer Science Artificial Intelligence jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Artificial Intelligence jobs in Toronto, ON look for? The top searched job categories for Entry Level Computer Science Artificial Intelligence jobs in Toronto, ON are:
Infographic showing various Entry Level Computer Science Artificial Intelligence job openings in Toronto, ON as of July 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 7% Hybrid, and 7% Remote job distribution.

Professor, Computer Science

Mohawk College

Hamilton, ON

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Status: Full Time

Hours: Teaching is normally scheduled between 8:00 am and 10:00 pm, Monday - Friday. In accordance with the Collective Agreement, workload may be up to 44 hours per week.

Home Campus: Fennell

Rate of Pay: 77,153 - 133,752 per year

Start Rate: Upon hire, Human Resources will conduct a rate calculation based on completed education and work experience to determine the step within the range as per the Collective Agreement.

Vacancy Status: 1 vacancy available

Posting Date: July 27th, 2026

Closing Date: August 7th, 2026 at 7:00 pm EST

Consideration will be given to qualified internal full-time academic and partial load employees first, in accordance with the Collective Agreement requirements.

Please be advised that the successful incumbent will be required to provide Mohawk College with copies of academic credentials and official transcripts at the point of hire.

We believe the rich diversity among our students and the communities we serve should be reflected within our workforce. As educators, we believe it is important to act and show leadership in advancing the principles of reconciliation, equity, diversity, and inclusion in our community.

Job Summary

Mohawk College seeks a qualified candidate for a full-time professor position who will be instructed into various programs in our Computer Science and Information Technology programs, as well as other advanced diploma and other degree programs.

  • Possess a student centric attitude toward the instruction of students at both an introductory and senior level and the ability and interest in mentoring students.
  • Possess the ability to teach a variety of undergraduate computer science classes including courses in Python, Java, Programming in .NET, Server-side web programming, Natural Language Processing, Machine Learning, Data Management for Artificial Intelligence and Internet of Things.
  • Can teach a variety of Cybersecurity concepts including Cyber Security Asset security, auditing, security strategy, identity and access management and software development.  Can instruct students on security efficacy frameworks in the present industry.
  • Depending on business needs, it may also teach foundational programming to other networking and software programs within the Computer Science portfolio.
  • Ability and interest in developing, maintaining, and enhancing course materials to remain current with future industry standards.

Applicants with both industry and academic experience in Computer Science, particularly in AI tools and technologies, are encouraged to apply. A Ph.D is preferred.

What you'll be doing:

  • Teaching the theory and practical application components.
  • Creating a positive and innovative student-centered learning environment in both the classroom and laboratory settings.
  • Using a variety of teaching strategies is most appropriate for the curriculum for both postsecondary and apprentices.
  • Using a variety of techniques to evaluate student achievement of learning outcomes.
  • Managing the educational environment to facilitate an optimal learning experience and student success.
  • Evaluating, revising and developing learning resources within the program.
  • Enhancing educational delivery and experiences through the use of technology to facilitate student learning.
  • Applying college values and philosophy in work activities and interaction with others.
  • Using the college's learning management system to present curriculum, testing and online activities.
  • Delivering a mix of courses that are online, hybrid, and in person depending upon operational work assignments.

Other duties as assigned.

What you'll bring to the role:

  • The incumbent should have a Master's Degree/Ph.D in Computer Science (Ph.D preferred).
  • Recognized industry certifications in networking, cloud computing AI and/or security.
  • Experience teaching at the post-secondary level (college or university) is strongly preferred.
  • Five or more years of industry experience (non-academic) is preferred.
  • Experience in conducting independent research is preferred, and there will be an expectation in the role to develop and engage in original research.
  • Candidate must possess excellent written and verbal communication skills.
  • Ability to relate theoretical knowledge and practical applications through innovative delivery methods to provide a meaningful learning environment for students of diverse backgrounds and ages.
  • Learner-centred approach and to assist in the development and application of alternate delivery methods.
  • Demonstrated commitment and understanding of human rights, equity, diversity, inclusion, and accessibility.
  • The ability to communicate and work effectively with diverse students, employees, and communities.

What we offer:

  • Defined Benefit pension plan (CAAT) with contributions matched by Mohawk College.
  • 93% top up of maternity and parental leave pay for 52 weeks.
  • Generous vacation time.
  • Access to Employee Family Assistance Program, including counselling services, financial literacy services, nutrition advice, and more.
  • Comprehensive benefits package including health, dental, vision, paramedical services (massage therapy, acupuncture, naturopathy, psychotherapy and psychology), short-term and long-term disability.

To find out more about working at Mohawk College, including our Employee Value Proposition, please visit https://www.mohawkcollege.ca/about-mohawk/careers-at-mohawk

We are committed to reconciliation and nurturing an inclusive, diverse, equitable, and accessible (IDEA) environment for everyone who learns and works at Mohawk College. We welcome applications from racialized persons, women, Indigenous people, persons with disabilities, 2SLGBTQIA+ persons, and others who may contribute to the further diversification of ideas.

The College is committed to fostering inclusive and barrier-free recruitment and selection processes. If you require accommodation during any stage of the recruitment process, please contact Human Resources.

To learn more about Mohawk College's commitments, please visit the Mohawk College strategic plan webpage: https://www.strategicplan.mohawkcollege.ca/