QA Automation Engineer - AI Driven

9D Technologies is at the forefront of app and game publishing, delivering innovative and engaging mobile experiences to users around the globe. Our mission is to create extraordinary digital experiences that captivate and entertain, and we are committed to pushing the boundaries of creativity and technology.

• →Develop and maintain AI-driven test automation frameworks to streamline functional, performance, and regression testing.
• →Identify and implement tools and methodologies to enhance test coverage and reduce manual intervention.
• →Leverage machine learning models to predict and identify areas prone to defects.
• →Implement AI-based solutions for self-healing test scripts and intelligent error handling.
• →Use AI/ML techniques to analyze test results, detect patterns, and provide actionable insights for development teams.
• →Work closely with developers, product managers, and DevOps teams to integrate testing into the CI/CD pipeline.
• →Contribute to the design of test plans, test cases, and test data for AI-driven workflows.
• →Explore emerging AI and automation tools to keep the QA process at the forefront of technology.
• →Monitor industry trends to ensure best practices in automated testing are adopted.
• →Mentor and guide junior QA engineers in adopting AI-driven testing methodologies.

• →Bachelor's in Computer Science, Software Engineering or a related field.
• →3-5 years in QA Automation Testing.
• →Proven experience in test automation frameworks such as Selenium, Cypress, Appium, or Playwright.
• →Hands-on experience with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• →Proficiency in programming languages such as Python, Java, or JavaScript.
• →Familiarity with AI-powered testing tools like Testim.io, Functionize, or Mabl.
• →Experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI).
• →Knowledge of version control systems like Git.
• →Strong analytical and problem-solving skills with an emphasis on diagnosing test failures and optimizing scripts.

• Certifications in AI/ML, QA Automation, or related fields.
• Experience with cloud environments such as AWS, Azure, or Google Cloud.
• Familiarity with performance testing tools like JMeter or LoadRunner.
• Knowledge of behavior-driven development (BDD) tools like Cucumber or SpecFlow.

• Competitive Salary
• Family Health Insurance
• Paid Time Off
• Work-Life Balance
• Daily lunch
• In-house Gym