Analyze system requirements and specifications using AI-assisted tools to identify gaps, inconsistencies, and potential risks Design and maintain comprehensive, structured test plans and test cases based on intelligent test generation techniques Execute manual and AI-supported automated tests to validate software functionality and performance Identify, document, and manage defects using tools such as JIRA, leveraging AI for bug classification and prioritization Perform regression testing using AI-based test selection to ensure efficient and effective coverage Collaborate with developers, product managers, and QA teams to ensure quality throughout the software development lifecycle Participate in Agile/Scrum ceremonies, contributing quality insights and risk assessments Utilize AI-driven analytics to monitor quality metrics, identify trends, and recommend improvements Continuously evaluate and enhance QA processes using data-driven and AI-supported approaches
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