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Bs Computer Science Jobs in Quebec (NOW HIRING)

Compunnel, Inc.

B achelor's degree in Computer Science or related field. * Hands-on experience building ML and Data Science solutions for real-world problems. * Strong understanding of ML models and concepts, best ...

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PSP's Private Debt & Credit Investment (PDCI) group

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or any equivalent quantitative degree from a recognized university * Two to three (2-3) ...

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Targeted Talent

Senior Deep Learning Engineer

Montreal, QC · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Targeted Talent

Senior Deep Learning Engineer

Quebec, QC · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Targeted Talent

Senior Deep Learning Engineer

Montreal, QC · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Targeted Talent

Senior Deep Learning Engineer

Quebec, QC · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

ALLTECH CONSULTING SVC INC

Data Scientist

Quebec, QC · On-site

Skills: • Bachelor's Degree in Computer Science, Computer Engineering or similar. • 5+ years of experience developing and supporting large production systems. • Fixed Income domain knowledge ...

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Jobtailor

Bachelor's degree or higher in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline * At least 7 years of professional software development experience

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Bs Computer Science information

What is a BS in Computer Science?

A BS in Computer Science is a Bachelor of Science degree that focuses on the theoretical foundations and practical applications of computing and programming. Students learn about algorithms, data structures, software development, computer systems, and sometimes topics like artificial intelligence, cybersecurity, and databases. Graduates are prepared for careers in software engineering, IT, research, or for further study in graduate programs. The degree generally takes about four years to complete and combines coursework, projects, and sometimes internships to provide a comprehensive understanding of computer science.

What types of entry-level roles are commonly available to graduates with a BS in Computer Science, and how can I identify which path aligns with my interests?

Graduates with a BS in Computer Science often find entry-level opportunities as software developers, QA engineers, data analysts, IT support specialists, or web developers. To determine which path best suits your interests, consider the subjects you enjoyed most during your studies, such as programming, databases, or networking, and look for roles that emphasize those skills. Internships, personal projects, and participation in coding communities can also provide valuable insight into various specializations, helping you make a more informed decision as you start your career.

What are the key skills and qualifications needed to thrive as a Computer Science graduate, and why are they important?

To thrive as a Computer Science graduate, you need strong analytical thinking, programming proficiency, and a solid grasp of algorithms and data structures, typically supported by a bachelor's degree in computer science or a related field. Familiarity with coding languages (such as Python, Java, or C++), version control systems like Git, and knowledge of software development methodologies are highly valued. Effective problem-solving, teamwork, and communication skills help you excel in collaborative and dynamic tech environments. These capabilities enable you to design, develop, and maintain robust software solutions that meet real-world needs.

What is the difference between Bs Computer Science vs Bs Information Technology?

AspectBs Computer ScienceBs Information Technology
Core FocusProgramming, algorithms, software development, theoretical foundationsIT infrastructure, network management, systems administration
CertificationsComputer Science-related certifications (e.g., Cisco, Microsoft)IT certifications (e.g., CompTIA, Cisco)
Work EnvironmentSoftware companies, tech startups, research labsCorporate IT departments, network operations centers
Industry UsageSoftware development, research, academiaIT support, network management, system administration

While both degrees prepare students for tech careers, Bs Computer Science emphasizes programming and software development, whereas Bs Information Technology focuses on managing and supporting IT systems and networks. Your choice depends on whether you prefer coding and software design or IT infrastructure management.

What can I do with a bachelor of science in computer science?

A Bachelor of Science in Computer Science prepares graduates for roles such as software developer, systems analyst, database administrator, cybersecurity analyst, and network engineer. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages like Java, Python, or C++ and familiarity with tools like Git and Linux.

What jobs do most Bs Computer Science majors get?

Most Bachelor of Science in Computer Science graduates find jobs as software developers, web developers, systems analysts, database administrators, and network administrators. These roles typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL. Many also pursue positions in cybersecurity, IT support, or data analysis depending on their interests and certifications.

Which job is best after a bachelor of science in computer science?

Common career options after a BSc in Computer Science include software developer, data analyst, systems analyst, and cybersecurity analyst. These roles typically require strong programming skills, knowledge of databases, and familiarity with tools like Python, Java, or SQL, often supplemented by relevant certifications or internships.

What are popular job titles related to Bs Computer Science jobs in Quebec?

For Bs Computer Science jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Bs Computer Science jobs in Quebec look for?

The top searched job categories for Bs Computer Science jobs in Quebec are:

Bs Computer Science jobs near you
Infographic showing various Bs Computer Science job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution.

Founding Computer Vision Engineer

Montreal, QC • On-site, Remote

Assembler AI
See more jobs at Assembler AIexternal

Full-time

Posted 12 days ago

Key responsibilities

  • Train, evaluate, and improve vision models on real production video

  • Own the training datasets by sourcing, selecting data, defining label schemas, and reviewing annotation quality

  • Investigate model failures on footage, identify root causes, and work with the annotation team to target data for performance improvement

Job description

The Opportunity

Manufacturing powers the global economy at $50T a year and it relies heavily on human dexterity and skill to produce the goods we rely on every day. Yet manufacturers have little visibility when issues arise at manual assembly stations, impacting productivity and quality.

Assembler AI is changing that.

We use computer vision and artificial intelligence to help manufacturers improve quality, reduce waste, increase throughput, and enable frontline employees to perform at their best.

Backed by Diagram Ventures, we're building a category-defining company at the intersection of AI, manufacturing, and operational excellence.

The role

We're hiring a founding computer vision engineer. You'll work directly with the Head of AI on the perception models behind our products, and take ownership of the datasets and evaluation work that make them perform in the field.This is an applied, hands-on role. Our hardest problems aren't about picking the newest architecture , they're about building the right training data, evaluating honestly enough to know what actually improved, and spending real time in the footage to understand what a model is getting wrong. If you like problems where the answer is in the data rather than the paper, you'll do well here.

What you'll do

  • Train, evaluate, and improve vision models on real production video
  • Own our training datasets: sourcing and selecting data, defining label schemas, and reviewing annotation quality
  • Design evaluations that reflect real deployment conditions, and report results clearly and honestly
  • Investigate model failures directly on footage and identify their root causes
  • Work with our annotation team to target the data most likely to improve performance
  • Run experiments end to end: from question, to training runs, to a result someone can act on

Requirements

  • Bachelor's in computer science, engineering, mathematics, or a related field ( or equivalent practical experience). A Master's in computer vision, machine learning, or a related area is welcome but not required
  • 2+ years of hands-on applied computer vision experience, ideally in industry or on systems deployed beyond a research environment
  • You've trained and deployed a vision model on real-world data end to end, including the messy parts
  • Strong Python and PyTorch
  • Solid understanding of evaluation: train/test splits, precision/recall tradeoffs, and why a strong validation score doesn't always mean a good model in production
  • Comfortable spending significant time reviewing video footage; understanding what the camera actually sees is a real part of this job
  • Willing to say "I don't know" and "I think I got that wrong." We'd rather hear it early
  • Professional working proficiency in French and English
  • Based in Canada

Technical environment

Required:

  • Git and a standard branch/review workflow
  • Linux — comfortable working entirely over SSH on remote GPU machines: bash, background jobs, services, reading logs
  • Cloud — hands-on experience with AWS and/or GCP, including compute, storage, and managing your own training environments
  • PyTorch and CUDA — GPU-based training, checkpoint management, and experiment tracking.
  • OpenCV and ffmpeg — decoding, cropping, and processing video at scale
  • NumPy, pandas, scikit-learn, and standard annotation data formats

Nice to have:

  • Experience with video and temporal models, not just single images
  • Object tracking and multi-object association
  • Model export and inference optimization
  • Experience with annotation platforms and running an annotation workflow
  • Exposure to manufacturing, robotics, or industrial inspection

Why join

You'll be the second person on the AI team, with direct ownership of a core part of the product and a very short path from your work to something running on a live production line.

Compensation & Benefits

  • Competitive salary and stock options
  • Competitive Health benefits
  • Health and wellness spending account, from $500 to $1,000 annually
  • Latest MacBook and modern sales tooling
  • Opportunity to grow as the company scales