Description

Design and maintain automated test frameworks integrating AI/ML technologies for predictive analysis and self-healing mechanisms.

You will own the quality assurance lifecycle, combining traditional automation with machine learning models to enhance test coverage and efficiency.

Responsibilities

• Design, develop, and maintain scalable automated test frameworks and tools.
• Integrate AI/ML technologies for test case generation, predictive analysis, and self-healing automation.
• Implement and maintain CI/CD pipelines for continuous testing using Jenkins, GitLab CI, or Bamboo.
• Conduct functional, integration, regression, and performance testing using traditional and AI-powered methods.
• Collaborate with development and AI/ML teams to leverage models for defect prediction and test case prioritization.

Required Skills

• 5+ years of experience as an SDET or QA Automation Engineer.
• 5+ years of experience applying AI/ML technologies to quality assurance and test automation.
• Proficiency in Python or Java for developing automated tests and scripts.
• Experience with automated testing frameworks such as Robot, Selenium, Appium, TestNG, or JUnit.
• Hands-on experience with CI/CD tools including Jenkins, GitLab CI, GitHub Actions, or Bamboo.
• Knowledge of API testing tools like Postman, Rest Assured, or SoapUI.
• Understanding of machine learning models, including NLP for test generation and computer vision for visual testing.
• Familiarity with AI-driven testing tools such as UiPath, Testim, Mabl, or Applitools.
• Experience with test management tools like Zephyr, Jira, or TestRail.

Preferred Skills

• Experience with Docker, Kubernetes, AWS, Azure, or GCP.
• Knowledge of AI-based test case prioritization or predictive analytics.

Key Skills

Education

Any Graduate