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Define functional and non-functional test strategies for the conversational AI platform.
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Collaborate with AI developers and product owner to design comprehensive test cases covering various user scenarios, edge cases, and potential failure points.
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Conduct rigorous testing of conversational AI models, including: - Functional testing to verify correct behavior, assess the accuracy, relevance, and coherence of AI-generated responses.
- Performance testing to evaluate response times, system load, and resource utilization.
- Usability testing to assess the user experience and identify areas for improvement.
- Coordinate security testing with the Information Technology Security team to identify and mitigate potential vulnerabilities.
- Integration testing to ensure the product is integrated with various platforms and that data integrity is maintained between various back-end systems.
- Coordinate with cross-functional quality assurance resources to conduct end to end testing between other systems/platforms.
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Generate detailed reports on test executions, including bug reports, performance metrics, and user experience insights.
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Analyze test results to identify trends, patterns, and areas requiring improvement and work with the product owner for prioritization in the product backlog.
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Track and manage bug resolution and feature enhancements.
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Provide actionable feedback to AI developers to improve model performance, accuracy, and user satisfaction.
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Collaborate with the team to refine training data, adjust model parameters, and optimize algorithms.
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Own User Acceptance Testing (UAT) and facilitate by providing demos and test data of the product to the UAT testers.
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Keep up to date with the latest developments in conversational AI, natural language processing, and machine learning.
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Research and explore new testing methodologies and tools to enhance the QA process.