QA Automation Engineer - AI Driven

As a QA Automation Engineer - AI Driven at 9D Technologies, your main responsibilities will include developing and maintaining AI-driven test automation frameworks, implementing tools to enhance test coverage, leveraging machine learning models for predictive analysis, integrating testing into CI/CD pipelines, and mentoring junior QA engineers in AI testing methodologies. You'll work closely with various teams to ensure optimal quality in our mobile applications.

To qualify for the QA Automation Engineer - AI Driven position at 9D Technologies, candidates should have a Bachelor's degree in Computer Science or a related field, along with 3-5 years of experience in QA Automation Testing. Proven experience with automation frameworks such as Selenium or Cypress, proficiency in programming languages like Python or Java, and hands-on knowledge of AI/ML libraries are vital for this role.

The QA Automation Engineer - AI Driven at 9D Technologies will utilize various tools and technologies, including test automation frameworks like Selenium and Appium, AI/ML libraries such as TensorFlow and PyTorch, and CI/CD tools like Jenkins. Familiarity with AI-powered testing tools and version control systems like Git will also play an essential role in your daily tasks.

At 9D Technologies, QA Automation Engineers - AI Driven can expect a dynamic and supportive work environment that prioritizes innovation and collaboration. Our culture embraces work-life balance, offering benefits such as competitive salaries, family health insurance, and perks like daily lunches and in-house gym facilities, ensuring a healthy and engaging workplace for all team members.

9D Technologies actively supports the professional growth of QA Automation Engineers - AI Driven through mentorship opportunities, access to emerging technology tools, and the encouragement of continuous learning. We value certifications in AI/ML and related areas and provide an environment where engineers can keep their skills current and thrive in their careers.

When responding, highlight specific frameworks like Selenium, Cypress, or Appium that you have worked with. Discuss any challenges you faced and how you overcame them, emphasizing the impact your automation experience had on improving testing efficiency.

Describe your methodology, focusing on identifying key testing needs, integrating AI tools, and ensuring the frameworks meet project requirements. Share examples of how you've successfully implemented these frameworks in past projects.

Be honest about your programming skills, mentioning languages like Python, Java, or JavaScript. Discuss relevant tools you're familiar with, such as Jenkins for CI/CD integration and any AI-powered testing tools you have utilized.

Prepare a specific example where you employed AI or machine learning to enhance testing. Highlight the outcomes, focusing on how the AI/ML application positively impacted test coverage or defect detection.

Emphasize the importance of communication and early involvement in the development process. Discuss how you build relationships and ensure that testing aligns with the project's goals by fostering a collaborative environment.

Explain your mentoring style, discussing the resources and strategies you employ to guide junior engineers. Share examples that showcase your ability to empower others while promoting best practices in AI-driven testing.

Discuss various resources you use, such as industry publications, webinars, or community forums. Highlight your proactive approach in exploring emerging tools and techniques that advance automated testing practices.

Articulate a methodical approach where you diagnose the test failures, assess the logs, and implement fixes. Emphasize your analytical skills in identifying root causes and following up with preventive measures.

Share your organizational skills and ability to adapt to changing priorities. Discuss how you assess risks associated with features being developed to ensure critical tests are executed first.

Mention qualities such as analytical problem-solving, attention to detail, and the ability to learn new technologies swiftly. Connect these qualities back to how they would contribute to successful outcomes at 9D Technologies.