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Bs In Computer Science Jobs in Mississauga, ON (NOW HIRING)

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 ...

PEY/co-op student in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or an equivalent engineering, mathematics, or science discipline. * Strong Python ...

French is helpful * BS in Computer Science or related field, or equivalent experience Bring your Whole Self to Work! Diversity, equity, and inclusion are at the core of who we are. At Exabeam, we ...

Full Stack Software Developer I

Toronto, ON · On-site

CA$94K - CA$127K/yr

Participate in Agile ceremonies (standups, sprint planning, retrospectives) and contribute actively Qualifications * BS in Computer Science or related technical field (or equivalent practical ...

What You Bring * BS in Computer Science, Electrical Engineering or equivalent experience. * 4+ years of experience in software testing or SDET roles. * High proficiency in computer technology and ...

Qualifications: - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. - 3+ years of experience in software engineering or machine learning engineering ...

Bachelor's degree in computer science, Statistics, Mathematics, or related field, or equivalent experience * 5+years experiencein developing and implementing data science techniques * Proficient in ...

Bachelor's degree in computer science, Statistics, Mathematics, or related field, or equivalent experience * 5+years experiencein developing and implementing data science techniques * Proficient in ...

Serve as a subject matter expert for both internal teams and external customers What You Bring * BS in Computer Science, Electrical Engineering, or equivalent professional experience * 4-7 years of ...

CAD Technician

Richmond Hill, ON · On-site

CA$60K - CA$65K/yr

An Associate of Applied Science Degree/diploma in drafting OR Bachelor's degree in electrical or ... A minimum three (3) to five (5) years' experience working in a CAD Specialist position or the ...

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Bs In Computer Science information

What are the key skills and qualifications needed to thrive with a BS in Computer Science, and why are they important?

To thrive with a BS in Computer Science, you need a solid understanding of programming languages, algorithms, data structures, and software development principles, typically backed by a bachelor's degree in the field. Familiarity with tools such as version control systems (e.g., Git), integrated development environments (IDEs), and common frameworks or platforms is often required. Strong problem-solving abilities, teamwork, and effective communication make candidates stand out in technical environments. These skills are crucial for building reliable software solutions, collaborating efficiently, and adapting to the rapidly evolving tech landscape.

What types of entry-level roles are commonly available to candidates with a BS in Computer Science, and how do these roles typically support career growth?

Graduates with a BS in Computer Science often find entry-level opportunities such as software developer, quality assurance analyst, IT support specialist, or data analyst. These roles typically involve working within a collaborative team, gaining hands-on experience with real-world projects, and learning from senior engineers or mentors. As you build technical skills and demonstrate reliability, there are clear pathways to advance into specialized areas like software engineering, cybersecurity, or project management. Proactively seeking mentorship and participating in cross-functional projects can accelerate professional growth within the tech industry.

What is the difference between Bs In Computer Science vs Software Developer?

AspectBs In Computer ScienceSoftware Developer
Required CredentialsBachelor's degree in Computer Science or related fieldOften requires a bachelor's degree in Computer Science, Software Engineering, or related field
Work EnvironmentAcademic, research, or industry settings involving programming, algorithms, and systemsPrimarily in software development teams, coding, testing, and deploying applications
Industry UsageUsed as a foundational degree for various tech roles, including software developmentCommonly employed in tech companies, startups, and IT departments

While a Bs In Computer Science provides a broad theoretical and practical foundation in computing, a Software Developer focuses specifically on designing, coding, and maintaining software applications. Both roles often overlap in skills and work environments, but the degree offers more versatility across tech careers.

What can you do with a BS in Computer Science?

A Bachelor of Science (BS) in Computer Science prepares graduates for a wide range of careers in technology and related fields. Common job roles include software developer, systems analyst, data scientist, cybersecurity analyst, and IT consultant. Graduates can work in industries such as finance, healthcare, education, and entertainment, or pursue advanced degrees in computer science or related disciplines. The degree equips students with skills in programming, problem-solving, and system design, which are highly sought after in today’s digital world.
What are popular job titles related to Bs In Computer Science jobs in Mississauga, ON? For Bs In Computer Science jobs in Mississauga, ON, the most frequently searched job titles are:
What job categories do people searching Bs In Computer Science jobs in Mississauga, ON look for? The top searched job categories for Bs In Computer Science jobs in Mississauga, ON are:
What cities near Mississauga, ON are hiring for Bs In Computer Science jobs? Cities near Mississauga, ON with the most Bs In Computer Science job openings:
Infographic showing various Bs In Computer Science job openings in Mississauga, ON as of June 2026, with employment types broken down into 29% Full Time, 69% Part Time, and 2% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution.
AI Engineer

Other

Posted 22 days ago


Job description

Charger logistics Inc. is a world- class asset-based carrier with locations across North America. With over 20 years of experience providing the best logistics solutions, Charger logistics has transformed into a world-class transport provider and continue to grow.

We are looking for a highly motivated AI Engineer to join our team based out of our Brampton office and contribute to the development of AI-driven solutions for various departments. This role focuses on building production AI agents and MCP (Model Context Protocol) integrations that automate real logistics workflows-dispatch, billing, compliance, and fleet operations-improving the reliability, transparency, and efficiency of AI applications in real-world, high-stakes environments.

Responsibilities:

  • Design, develop, and deploy MCP servers exposing domain services as AI-consumable tools with proper authentication, observability, and error handling.
  • Build multi-agent workflows using orchestration frameworks and agent-to-agent communication protocols for complex logistics automation.
  • Develop and optimize knowledge retrieval pipelines using RAG, KAG, and CAG strategies-selecting the right approach based on query complexity, data volatility, and domain reasoning requirements.
  • Design hybrid retrieval architectures that route between CAG for static reference data, RAG for dynamic operational queries, and KAG for multi-hop reasoning across structured domain knowledge.
  • Implement LLM integration layers-prompt engineering, function calling, structured output parsing, and model routing for domain accuracy.
  • Collaborate with cross-functional teams to collect requirements and translate operational workflows into agent capabilities.
  • Deploy and maintain agent infrastructure on Kubernetes with GitOps practices and observability tooling.

Requirements

  • 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 understanding of REST APIs, microservices architecture, and AI/ML concepts.
  • Experience building production-grade AI applications in Python-not just notebooks or prototypes.
  • Hands-on proficiency with LLM integration: function calling, tool use, structured outputs (OpenAI, Anthropic, or Google APIs).
  • Solid understanding of knowledge retrieval patterns including RAG (Retrieval-Augmented Generation), with familiarity of emerging approaches like KAG (Knowledge-Augmented Generation) and CAG (Cache-Augmented Generation).
  • Proficiency with SQL and at least one analytical data platform (BigQuery, Snowflake, or similar).
  • Experience with cloud platforms and container orchestration (Kubernetes).
  • Background in MCP, agent orchestration frameworks, knowledge graphs, or streaming data systems is a strong asset.

Benefits

  • Competitive Salary
  • Healthcare Benefit Package
  • Career Growth