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New Graduate Computer Science Jobs in Mississauga, ON

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 ... Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Data ...

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

Computer Science PhD (Graduated) * Undergraduate degree from US/UK/Canada/Western Europe * Graduate degree from a top US/UK/Canada/Western European university * High attention to detail * Exceptional ...

Mercor

AI Assessment Specialist - PhD

Toronto, ON · On-site +1

CA$66 - CA$84/hr

... in Computer Science , Electrical Engineering , or a closely related field. * Master's degree considered for candidates with exceptional depth in a specific subdomain. * Strong command of graduate ...

Td

Sr. Full Stack Data Science Engineer

Toronto, ON · On-site

CA$154K - CA$199K/yr

A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer Science, Finance ...

Mercor

Computational Statistics Expert - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

Graduate-level training in statistics, applied mathematics, or a relevant STEM field. * Proven proficiency with at least one specialized statistical, mathematical, or scientific software package.

Mercor

Computational Statistics Expert - PhD

Toronto, ON · Remote

CA$70 - CA$90/hr

Graduate-level training in statistics, applied mathematics, or a relevant STEM field. * Proven proficiency with at least one specialized statistical, mathematical, or scientific software package.

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All JobsNew Graduate Computer Science JobsNew Graduate Computer Science Jobs in Mississauga, ON

New Graduate Computer Science information

What is a new graduate computer science job?

New Graduate Computer Science jobs are entry-level positions designed for individuals who have recently completed a degree in computer science or a related field. These roles typically include job titles like software engineer, data analyst, IT support specialist, and web developer. Employers seek candidates with a solid foundation in programming, problem-solving skills, and the ability to quickly learn new technologies. These positions provide hands-on experience, mentorship, and opportunities for career growth in the technology sector.

What are the key skills and qualifications needed to thrive as a new graduate in computer science?

To thrive as a New Graduate in Computer Science, you need a solid grasp of programming fundamentals, algorithms, and data structures, usually supported by a bachelor's degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), version control systems like Git, and basic knowledge of software development tools is essential. Problem-solving abilities, eagerness to learn, and effective teamwork are standout soft skills for success in entry-level roles. These skills and qualities are crucial for adapting to real-world technical challenges and contributing effectively to software development projects.

What are some common challenges new graduate computer science hires face during their first year on the job?

New graduate computer science hires often encounter challenges such as adapting to large, complex codebases, understanding company-specific development workflows, and bridging the gap between academic concepts and practical application. It's common to feel overwhelmed by the scale of real-world projects and the fast pace of agile development environments. Building effective communication skills and seeking mentorship from more experienced colleagues can help ease this transition and accelerate professional growth.

What is the difference between New Graduate Computer Science vs Software Developer?

AspectNew Graduate Computer ScienceSoftware Developer
Required CredentialsDegree in Computer Science or related fieldDegree often preferred; experience may substitute
Work EnvironmentEntry-level, training-focused, team collaborationDevelopment teams, project-based, coding-focused
Employer & Industry UsageTech companies, startups, IT departmentsSoftware firms, tech companies, enterprise IT
Search & Comparison IntentUnderstanding entry-level roles, qualificationsJob responsibilities, skills, career path

In summary, a New Graduate Computer Science role typically refers to an entry-level position requiring a relevant degree and focuses on training and learning. A Software Developer may have similar qualifications but often involves more specific coding responsibilities and project work. Both roles are common in tech industries and serve as starting points for a career in software development.

Are new graduate computer science grads getting jobs?

Many new graduate computer science graduates find employment in software development, data analysis, and related fields, especially when they have strong programming skills and internships. Job availability can vary based on location, industry demand, and individual qualifications, but overall, entry-level roles are accessible for qualified candidates.

How can a new graduate computer science get a job?

A new graduate in computer science can improve job prospects by building a strong portfolio of projects, gaining experience through internships or co-op programs, and developing skills in programming languages, data structures, and algorithms. Networking, participating in coding competitions, and obtaining relevant certifications can also enhance employability in the tech industry.

What cities near Mississauga, ON are hiring for New Graduate Computer Science jobs?

Cities near Mississauga, ON with the most New Graduate Computer Science job openings:

New Graduate Computer Science jobs near you
Infographic showing various New Graduate Computer Science job openings in Mississauga, ON as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution.

Cloud/AI Platform Engineer

Randstad Canada

Toronto, ON

CA$75K - CA$141K/yr

Full-time

Medical, Life, Retirement

Posted 14 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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