2

Entry Level Computer Science Artificial Intelligence Jobs in Toronto, ON

Sr Data Scientist / Economist

Toronto, ON · On-site

CA$72K - CA$138K/yr

About the team Deloitte's Artificial Intelligence & Data practice is comprised of specialized ... Computer Science, Applied Mathematics, Statistics, or related field is required. • Advanced ...

... Science team is responsible for developing Artificial Intelligence (AI) and Machine Learning (ML ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or another ...

The CAD Technician will play a key part in ensuring project information is precise, current, and ... No artificial intelligence systems are used at any stage of the recruitment, assessment, screening ...

Post-secondary education in information management, computer science, or related field of study ... Zafin may use Artificial Intelligence (AI) and/or other forms of automated technology to screen and ...

... artificial intelligence technology. With a robust track record of growth and a proven business ... We are in search of passionate Research Scientists with a specialization in Computer Vision to ...

next page

Showing results 1-20

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:
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:

HVAC Digital Design & AI Applications Developer

Salas O'Brien Canada Inc.

Toronto, ON • On-site

CA$75K - CA$90K/yr

Full-time

Posted 7 days ago


Job description

HVAC Digital Design & AI Applications Developer

Job Summary:

We are seeking a Mechanical Engineering graduate with a strong background in Information Technology to support the digital transformation of HVAC consulting engineering design. This role combines mechanical engineering principles, Building Information Modeling (BIM), software development, and Artificial Intelligence (AI) to improve the efficiency, quality, and automation of HVAC system design and documentation.

In this role you will: work closely with HVAC engineers, BIM specialists to create and maintain Revit-based tools, automate engineering workflows, develop AI-powered design assistants, and enhance data-driven decision-making throughout the building design process.

This role is suited to an early-career engineer interested in combining mechanical engineering, BIM technology, and AI development to help Salas O’Brien Canada deliver smarter, faster, and more efficient building design solutions.

Key Responsibilities

  • Develop and maintain custom applications, add-ins, and automation tools for Autodesk Revit using C#, .NET, Python, and the Revit API.
  • Support HVAC engineers in creating BIM workflows for mechanical building systems including heating, ventilation, air conditioning, and plumbing.
  • Design and implement AI solutions to assist with HVAC load calculations, equipment selection, clash detection, code compliance reviews, and design optimization.
  • Develop scripts and automation routines using Dynamo, Python, and related BIM technologies.
  • Create data pipelines that integrate Revit models with engineering databases, cloud platforms, and AI applications.
  • Analyze engineering design data to identify opportunities for process improvement and automation.
  • Collaborate with multidisciplinary engineering teams to understand workflow challenges and develop digital solutions.
  • Prepare technical documentation, user guides, and training materials for internally developed tools.
  • Stay current with emerging technologies in BIM, AI, cloud computing, and building systems engineering.

Required Skills/abilities:

  • Bachelor’s degree in Mechanical Engineering.
  • Additional degree, diploma, or significant coursework in Information Technology, Computer Science, Software Engineering, or a related field.
  • Understanding of HVAC systems and building services engineering fundamentals.
  • Knowledge of Autodesk Revit and BIM workflows.
  • Programming experience in Python, C#, JavaScript, or similar languages.
  • Familiarity with databases, APIs, and software development principles.
  • Analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Innovative thinking skills
  • Teamwork and Team collaboration
  • Relationship building
  • Cooperative mindset

Preferred Qualifications

  • 1 – 2 years of industry experience.
  • Experience with Revit API, Dynamo, Autodesk Platform Services (APS), or BIM automation.
  • Understanding of generative AI, or data analytics.
  • Familiar with HVAC design software such as Carrier HAP, Trane TRACE 3D Plus, or energy modeling platforms.

Key Skills

  • HVAC Engineering Fundamentals
  • Building Information Modeling (BIM)
  • Autodesk Revit & Revit API
  • Dynamo and Python Scripting
  • C#/.NET Development
  • Artificial Intelligence & Machine Learning
  • Data Analytics and Visualization
  • Cloud Computing
  • Software Integration
  • Engineering Process Automation

Location: Toronto, Ontario, Canada – In-office position

Travel: Little to no travel required.

Compensation: Annual salary range: $75,000.00 - $90,000.00 CAD commensurate with experience.

Vacancy Status: This posting is for a new vacancy.

Equal Opportunity Employment Statement

Salas O’Brien provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state/provincial, or local laws. Salas O’Brien will accommodate the disability-related needs of applicants as required by law.

About Us:

Founded in 1975, Salas O’Brien is an employee-owned engineering and professional services firm focused on achieving impact for our clients, our team, and the world. We know that tomorrow’s requirements are today’s opportunities, and we are here to design lasting solutions for pressing challenges.

We work across a variety of industries providing integrated engineering and consulting services. Our specialized experience includes design for data centers, healthcare, science and technology, high-rise buildings, clean energy, education, and other building types as well as structural and building sciences, infrastructure asset management, advanced robotics, and more.

Artificial Intelligence Disclosure

Applications are processed through an applicant tracking system that may or may not use automated screening questions to help identify qualified candidates. All applications are also reviewed by our hiring team.

Third-Party Agency Notice

Salas O’Brien does not accept unsolicited resumes from external recruiters or agencies. We only work with approved partners engaged directly by our Talent Acquisition team for specific searches. Unsolicited submissions will not be eligible for placement fees.