- 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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