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Metro Bengaluru internship with a popular QA/AI testing title and moderate employer brand increases applicant density.
Automation and QA skills transfer across industries, though AI-focused testing adds moderate domain specificity.
Requires degree enrollment and specific Java/QA tool familiarity but no strict years, producing moderate filtering.
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Support design, development, and execution of manual and automated quality assurance test cases for AI-powered applications using Java-based frameworks.
Assist in validating software functionality, AI model outputs, APIs, and user interfaces against requirements, including defect identification and verification.
Collaborate with cross-functional teams in Agile environments and contribute to continuous integration/deployment testing efforts.
Currently pursuing Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or related technical field.
Working knowledge of Java programming and familiarity with Java-based automation testing frameworks (e.g., Selenium WebDriver, TestNG, JUnit).
Exposure to software testing methodologies, SDLC, Agile practices, and API testing tools such as Postman or REST Assured.
Work Experience Required: Not explicitly mentioned in the JD.
Has project or internship experience involving Java-based application development or automation testing, preferably with AI or software quality focus.
Comfortable working collaboratively in Agile teams and contributing to sprint testing, code reviews, and CI/CD pipelines.
Interested in AI technologies and eager to learn emerging AI testing methodologies and automation tools.