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Entry Level Ai Developer Jobs in Ontario (NOW HIRING)

Randstad Canada

Cloud/AI Platform Engineer

Toronto, ON

CA$75K - CA$141K/yr

New Graduate / Entry Level About the Role Are you looking to make your mark in AI? Are you an AI thought leader? We are seeking a passionate and curious AI Platform Engineer (New Graduate) to help ...

GHD

Graduate Engineering Technician

Whitby, ON · Hybrid

CA$30/hr

This entrylevel role is ideal for recent graduates who are detailoriented, technically curious, and ... While AI supports some steps through the process, all final hiring decisions are made by humans ...

Esf

Rather than acting as a traditional software engineer, you will utilize modern Generative AI and AI ... Level: Entry-level to early-career (0-2 years of professional experience), backed by a strong ...

GHD

Laboratory Technician Co-op

Waterloo, ON · Hybrid

... and geotechnical engineering professionals. This is an entry-level contract position, but ... While AI supports some steps through the process, all final hiring decisions are made by humans ...

Egis Group

Geotechnical Field Technician

Kingston, ON · On-site

Imagine working alongside over 1,000 top-tier engineers, architects, and planners, all dedicated to ... The Geotechnical Field Technician is an entry-level to early-career field role based in Kingston ...

Source Code

RQ00722 - Int. Business Analyst

Orillia, ON · Hybrid

CA$72.51 - CA$87.01/hr

Experience with DevOps, Figma, JIRA, MIRO * Public Sector Experience (Preferred) NOTE: Strong ... Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its ...

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Entry Level Ai Developer information

What does an entry level AI developer do?

An Entry Level AI Developer assists in designing, developing, and implementing artificial intelligence models and systems under the guidance of senior engineers. Their responsibilities often include data preprocessing, coding algorithms, testing AI solutions, and collaborating with cross-functional teams. They typically work with programming languages like Python, utilize machine learning libraries, and help improve model accuracy. This role provides foundational experience for building a career in AI and machine learning.

What types of projects and tasks can an entry level AI developer expect to work on in their first year?

As an Entry Level AI Developer, you can expect to work on a variety of foundational tasks such as data preprocessing, implementing and testing machine learning models, and supporting senior developers with code maintenance. You may be involved in gathering and cleaning data, conducting exploratory data analysis, and assisting with model evaluation and performance tuning. Collaboration with data scientists, engineers, and product teams is common, as you’ll help integrate AI solutions into existing systems or applications. This hands-on experience is valuable for building technical skills and understanding the full AI development lifecycle.

What are the key skills and qualifications needed to thrive as an entry level AI developer, and why are they important?

To thrive as an Entry Level AI Developer, you need a solid grasp of programming languages like Python, foundational knowledge in mathematics and statistics, and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and cloud platforms is typically expected. Strong problem-solving skills, teamwork, and a willingness to learn are crucial soft skills for this role. These competencies enable you to contribute effectively to AI projects, adapt to evolving technologies, and collaborate well with multidisciplinary teams.

What is the difference between Entry Level Ai Developer vs Data Analyst?

AspectEntry Level Ai DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming languages like PythonBachelor's in Statistics, Math, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, AI startups, R&D departmentsBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageDevelop AI models, machine learning algorithms, and automation toolsAnalyze data trends, generate reports, and support decision-making

While both roles require strong analytical skills and programming knowledge, Entry Level Ai Developers focus on creating AI models and algorithms, often in tech-driven environments. Data Analysts interpret data to inform business decisions, working across various industries. The roles overlap in data handling and technical skills but differ in their core objectives and tools used.

What are the most commonly searched types of Ai Developer jobs in Ontario?

The most popular types of Ai Developer jobs in Ontario are:

What job categories do people searching Entry Level Ai Developer jobs in Ontario look for?

The top searched job categories for Entry Level Ai Developer jobs in Ontario are:

Entry Level Ai Developer jobs near you
Infographic showing various Entry Level Ai Developer job openings in Ontario as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Cloud/AI Platform Engineer

Randstad Canada

Toronto, ON

CA$75K - CA$141K/yr

Full-time

Medical, Life, Retirement

Posted 4 days ago

Job description

Application Deadline:

08/29/2026

Address:

4100 Gordon Baker Road

Job Family Group:

Technology
AI Platform Engineer (New Graduate)

Location: Toronto, ON (Hybrid)
Job Type: Full-Time
Experience Level: New Graduate / Entry Level

About the Role

Are you looking to make your mark in AI? Are you an AI thought leader?

We are seeking a passionate and curious AI Platform Engineer (New Graduate) to help build, operate, and scale the next generation of AI infrastructure and platforms. This role is ideal for recent university graduates who are excited about cloud computing, artificial intelligence, machine learning platforms, developer tools, and large-scale distributed systems.

It's an opportunity that can make you an AI leader at BMO.

As an AI Platform Engineer, you will work with experienced engineers and data scientists to create reliable, secure, and scalable platforms that enable AI applications and machine learning workloads across the organization.

This is an opportunity to learn from industry experts while contributing to cutting-edge AI solutions that drive real business impact.

What You'll Do
  • Build and maintain cloud-native platform services that support AI and machine learning workloads.
  • Design and implement automation solutions using Infrastructure as Code (IaC).
  • Develop tools, APIs, and services that improve developer productivity and platform reliability.
  • Assist in deploying, monitoring, and scaling AI models and machine learning pipelines.
  • Collaborate with software engineers, data scientists, and product teams to operationalize AI solutions.
  • Monitor platform health and troubleshoot performance, reliability, and scalability issues.
  • Contribute to CI/CD pipelines and DevOps practices for AI and platform engineering teams.
  • Participate in system design discussions and code reviews.
  • Learn and apply best practices around security, observability, governance, and cloud architecture.
QualificationsRequired
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a related technical field completed within the last 12 months.
  • Strong programming skills in one or more languages such as:
    • Python
    • Go
    • Java
    • C#
  • Understanding of software engineering fundamentals, including:
    • Data structures and algorithms
    • Object-oriented design
    • REST APIs
    • Version control (Git)
  • Familiarity with Linux operating systems and scripting.
  • Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
Preferred
  • Exposure to machine learning, generative AI, or large language models through coursework, projects, or internships.
  • Experience with containers and orchestration technologies such as Docker and Kubernetes.
  • Familiarity with MLOps concepts and tools.
  • Understanding of CI/CD practices and automation.
  • Experience with infrastructure-as-code tools such as Terraform.
  • Contributions to open-source projects, hackathons, research, or personal technical projects.
What You'll Learn
  • AI platform architecture and operations at scale.
  • Cloud-native application design and deployment.
  • MLOps, LLMOps, and AI governance best practices.
  • Platform engineering and site reliability engineering principles.
  • Secure software development and enterprise cloud operations.
What We're Looking For

We're looking for individuals who:

  • Are naturally curious and eager to learn.
  • Enjoy solving challenging technical problems.
  • Thrive in collaborative environments.
  • Take ownership of their work and seek continuous improvement.
  • Are excited about the future of AI and cloud technologies.
  • Critical Thinking
  • Building and managing relationships.
  • Adaptability.
  • Verbal & written communication skills.
  • Collaboration & team skills.
  • Analytical and problem solving skills.
  • Data driven decision making.

Nice-to-Have Technical Skills

  • Azure AI Services, Azure Machine Learning, or Azure Kubernetes Service (AKS)
  • Kubernetes, Docker, Helm
  • Terraform or Bicep
  • GitHub Actions or Azure DevOps
  • Prometheus, Grafana, OpenTelemetry
  • PostgreSQL, Redis, or NoSQL databases
  • LangChain, Semantic Kernel, or other AI frameworks
  • Retrieval-Augmented Generation (RAG) concepts

Salary:

$75,900.00 - $141,900.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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