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Ai Test Engineer Jobs in Quebec (NOW HIRING)

We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast ... At this level, engineering excellence extends beyond implementation: the engineer determines the ...

We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast ... At this level, engineering excellence extends beyond implementation: the engineer determines the ...

Effectuer les tests et la validation des AI skills avant la revision finale et le deploiement ... Experience avec les LLMs, le prompt engineering ou les outils AI workflows * A l'aise dans un ...

$20.09 - $26.78/hr

... tests, develop AI tools## About EricssonGlobal telecom leader, 5G & AI innovations## Full ... Developer**Compensation and Benefits at Ericsson** At Ericsson, we know that our people are the key ...

New

Use AI-assisted test prioritization and selective execution to reduce cycle time while keeping ... Developer enablement & platform tooling * Build internal delivery tooling, self-service pipeline ...

Use AI-assisted test prioritization and selective execution to reduce cycle time while keeping ... Developer enablement & platform tooling * Build internal delivery tooling, self-service pipeline ...

... AI-driven workflows. * Design for reusability: collaborate directly with engineers to ensure the ... Conduct user research and rapid prototyping to test new product hypotheses before they hit the ...

Drive adoption of AI-assisted engineering practices, including codebase analysis, test generation, automated code review, debugging support, release note generation, documentation generation, and ...

Process Engineer

Montreal, QC · On-site

CA$38 - CA$45/hr

Define chemical process tests, select the appropriate instruments for chemical analysis, and manage ... Ongoing training and career development support Apply now at www.grizzlytrekgroup.com Free AI ...

Partner closely with Product, Security/Privacy, and Engineering leaders to deliver high-impact ... Etablir des normes d'evaluation et d'observabilite (tests de regression, surveillance, boucles de ...

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Ai Test Engineer information

What is the difference between Ai Test Engineer vs Data Scientist?

AspectAi Test EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of testing toolsBachelor's or higher in CS, Statistics, or related; proficiency in data analysis
Work EnvironmentSoftware testing teams, AI development projectsData analysis teams, AI research projects
Employer & Industry UsageTech companies, AI startups, software firmsTech companies, finance, healthcare, research institutions
Common Search & ComparisonOften compared for roles in AI testing and quality assuranceCompared for data analysis and AI model development roles

While both roles work within AI and tech environments, Ai Test Engineers focus on testing and validating AI systems, ensuring quality and performance. Data Scientists analyze data to develop models and insights. The roles are complementary but distinct in their core responsibilities.

What are AI Test Engineers?

AI Test Engineers are professionals who design, develop, and execute tests to evaluate the performance, accuracy, and reliability of artificial intelligence systems and machine learning models. They work closely with data scientists and software developers to ensure AI solutions function as intended, identifying bugs, biases, and potential risks in algorithms. Their responsibilities often include creating test cases, automating test processes, and analyzing results to improve AI system quality and compliance.

What are some common challenges AI Test Engineers face when validating machine learning models?

AI Test Engineers often encounter challenges such as ensuring the quality and fairness of machine learning models, identifying edge cases that the model may not handle well, and working with limited labeled data for testing. Additionally, interpreting test results can be complex due to the probabilistic nature of AI outputs, requiring close collaboration with data scientists to understand model behaviors. Effective communication and a strong foundation in both software testing and AI concepts are essential to address these challenges and ensure reliable AI solutions.

What are the key skills and qualifications needed to thrive as an AI Test Engineer, and why are they important?

To thrive as an AI Test Engineer, you need a strong background in computer science, software testing methodologies, and a good understanding of machine learning concepts, often supported by a relevant degree. Familiarity with programming languages like Python, testing frameworks such as pytest, and tools like TensorFlow or PyTorch, along with certifications in software testing or AI, are typically required. Analytical thinking, attention to detail, and effective communication set top performers apart in this role. These skills and qualities are crucial for ensuring the reliability, accuracy, and ethical deployment of AI systems.
What job categories do people searching Ai Test Engineer jobs in Quebec look for? The top searched job categories for Ai Test Engineer jobs in Quebec are:
Infographic showing various Ai Test Engineer job openings in Quebec as of July 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution.

QA Automation Engineer Level 1

Kitco Metals Inc.

Montreal, QC • On-site

Full-time

Posted 9 days ago


Job description

PURPOSE

We're looking for a QA Automation Engineer-Level 1 who's eager to grow their craft on a team that's modernizing how we test software and solutions. You'll help build and maintain the automated tests that give our developers fast, reliable feedback, and you'll work with modern, AI-assisted tooling from day one.

ESSENTIALS FUNCTIONS AND TASKS

The responsibilities of this position include, but are not limited to the following:

Build and maintain automated tests for web, API, and integration scenarios - primarily using Playwright.

Convert existing manual and written test cases into reliable automated tests.

Help run and monitor automated tests within our CI/CD pipelines so issues surface early.

Investigate, document, and report defects clearly, then verify fixes.

Partner with developers to understand new features and spot potential issues early (a shift-left approach).

Help keep our test suites and test environments healthy, stable, and trustworthy.

Use AI-assisted tools (such as GitHub Copilot or Claude) to write, accelerate, and maintain automated tests as a regular part of your workflow.

REQUIRED SKILLS AND COMPETENCIES

2+ years of experience in software testing & test automation.

Good understanding of software testing concepts (test cases, test types, and the testing lifecycle).

Understanding of CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins

Familiarity with at least one automation framework (e.g., Playwright, Cypress, or Selenium).

Foundational programming skills in JavaScript/TypeScript or Python.

Comfort using Git for version control as part of a team.

Strong problem-solving instincts and clear, collaborative communication.

Comfortable using AI coding assistants or other AI tools to enable and accelerate automation across different types of testing.

ASSETS

Hands-on experience with Playwright, including its MCP or CLI.

Familiarity with API testing tools (e.g., Postman) or performance testing tools (e.g., JMeter, k6).

Awareness of secure coding practices or security testing.

Past working experience in Fintech or similar regulated organizations.

This position requires English to collaborate with development teams, technology vendors, and stakeholders located outside Quebec. The incumbent must also review technical documentation, use development and automation tools, and work with software platforms and AI technologies that operate primarily in English.

Data Protection Policy: Https://corp.Kitco.Com/data-Protection.Html