QA Automation Engineer – AI/ML Testing

About the role

Yakeey is looking for an experienced QA Automation Engineer to lead test automation and AI/ML testing for its PropTech platform. You will work closely with developers, data scientists, and product teams to ensure high‑quality, reliable, and fair AI‑driven features in an Agile environment.

Key responsibilities

• Design, develop, and maintain automated test frameworks for web, API, mobile, and AI/ML components.
• Create comprehensive test plans covering functional, regression, integration, performance, and end‑to‑end scenarios.
• 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) for 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 updated on emerging automation and AI testing trends.

Required profile

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
• 3+ years of professional QA experience with a focus on test automation.
• Proven experience testing AI/ML systems, including model validation and data pipeline testing.
• Strong programming skills for test scripting.

Required skills

• Python, Java, JavaScript
• Selenium, Cypress, Playwright, Appium, Robot Framework, pytest
• CI/CD tools (Jenkins, GitLab CI, GitHub Actions)
• Version control with Git
• AI/ML concepts and testing tools (TensorFlow, PyTorch)