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Metro location, popular senior QA role with broad automation and AI skills increases candidate density.
QA fundamentals are transferable, but AI/ML validation experience moderately increases domain specificity.
Explicit 6+ years requirement plus mandatory QA automation, SDET coding skills increases screening strictness.
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Own the design, development, and execution of test plans and automated testing frameworks for AI-driven and traditional software applications, including web, mobile, API, and distributed systems.
Validate AI and machine learning features for accuracy, performance, and reliability while ensuring compliance with established quality engineering standards.
Collaborate with cross-functional teams and integrate automated testing into CI/CD pipelines to ensure high-quality deliveries and continuous process improvements.
6+ years of experience in Software Quality Assurance, Testing, Quality Engineering, or SDET roles.
Bachelor's or Master's degree in Computer Science, Engineering, IT, or related field.
Hands-on experience with test automation frameworks and scripting/programming in Java, Python, JavaScript, or similar.
Experience with functional, regression, integration, system, performance testing, and working in Agile/Scrum environments.
Experienced in testing AI-powered applications, including validating AI/ML model outputs and understanding AI system behaviors.
Skilled at building scalable automated test suites and integrating them within CI/CD pipelines in a collaborative, cross-functional environment.
Comfortable working with modern Quality Engineering practices including shift-left testing and has exposure to enterprise distributed systems and cloud/containerized environments.