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QA Automation Engineer

Yakeey · Casablanca et périphérie

Mid 🇬🇧 English
Python Java JavaScript Selenium Cypress Playwright Appium Robot Framework pytest Jenkins GitLab CI GitHub Actions Git Jira Azure DevOps TensorFlow PyTorch AWS Azure GCP Docker Kubernetes JMeter Locust Postman REST Assured ISTQB

Description du poste

About the role

We are looking for an experienced QA Automation Engineer to lead the quality assurance effort for our software products, with a focus on test automation and AI/ML testing. You will work closely with developers, data scientists and product owners in an Agile environment to ensure reliability, performance and fairness of AI‑driven features.

Key responsibilities

  • Design, develop and maintain automated test frameworks for web, API, mobile and AI/ML components.
  • Create test plans, cases and strategies covering functional, regression, integration, performance and end‑to‑end testing.
  • Perform specialised testing of AI/ML models, including data validation, accuracy, bias detection, drift monitoring and adversarial testing.
  • Integrate automated tests into CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions) and enable continuous testing.
  • Leverage AI‑assisted testing tools to improve coverage and efficiency.
  • Identify, document and track defects, collaborate on root‑cause analysis and resolution.
  • Promote QA best practices and stay up‑to‑date with emerging automation and AI testing trends.

Required profile

  • Bachelor’s degree in Computer Science, Software Engineering or related field, or equivalent experience.
  • At least 3 years of professional QA experience with a strong emphasis on test automation.
  • Hands‑on experience testing AI/ML systems and understanding of machine‑learning workflows.
  • Proven ability to work in fast‑paced Agile/Scrum teams.

Required skills

  • Programming: Python, Java, JavaScript.
  • Automation frameworks: Selenium, Cypress, Playwright, Appium, Robot Framework, pytest.
  • CI/CD: Jenkins, GitLab CI, GitHub Actions; version control with Git.
  • Issue tracking: Jira, Azure DevOps.
  • AI/ML concepts and tools: TensorFlow, PyTorch, model validation, bias/fairness testing.
  • Cloud platforms: AWS, Azure, GCP; containerisation with Docker, Kubernetes.
  • Performance and API testing: JMeter, Locust, Postman, REST Assured.
  • ISTQB certification is a strong plus.

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Yakeey

Casablanca et périphérie