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Entry Level Computer Science Artificial Intelligence Jobs in Toronto, ON

Mercor

Automated Planning PhD - AI Expert

Toronto, ON · Remote

CA$55 - CA$80/hr

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

Td

Business Intelligence Analyst III

Toronto, ON

CA$69K - CA$98K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $69,700 - $98,400 CAD TD is committed ... Computer Science, Engineering, Economics, Finance, or a related analytical discipline.

Td

Machine Learning Engineer II

Toronto, ON

CA$154K - CA$199K/yr

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 ...

Charger Logistics Inc

AI Engineer

Brampton, ON

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 ...

Charger Logistics Inc

AI Engineer

Brampton, ON · On-site

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 ...

Charger Logistics Inc

AI Engineer

Brampton, ON · On-site

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 ...

Waabi

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 ...

Magna

Computer Vision Engineering Co-op

Toronto, ON · On-site

CA$24.50 - CA$28.50/hr

... Science, or an equivalent engineering, mathematics, or science discipline. * Strong Python ... artificial intelligence (AI) tools to assist in the initial screening of applications submitted ...

Apertera

Generative AI Engineer

Toronto, ON · On-site

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields. A Master's degree is preferred. * 2+ years of industry experience developing GenAI and LLM ...

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Entry Level Computer Science Artificial Intelligence information

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 are Entry Level Computer Science Artificial Intelligence jobs?

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 AI professional in computer science?

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, and why are they important?

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:
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Entry Level Computer Science Artificial Intelligence jobs near you

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

International Business University

Toronto, ON

CA$110K - CA$120K/yr

Full-time

Medical, Dental, Life, PTO

Re-posted 28 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.