Develop and execute AIdriven testing strategies to optimize software quality assurance processes and lifecycle.
Design and implement automated AIpowered testing frameworks to improve efficiency accuracy and scalability.
Utilize machine learning techniques for intelligent test automation anomaly detection and predictive analytics in software testing.
Collaborate closely with testers software engineers DevOps and product teams to integrate AIenhanced quality assurance best practices into the software development lifecycle.
Develop and maintain benchmarks for evaluating the effectiveness of AIdriven testing solutions.
Advocate for continuous improvement in AI testing methodologies tools and best practices.
Keep up with emerging trends and advancements in AI for software testing contributing to industry discussions and innovations.
Qualifications:
Bachelors or Masters degree in Computer Science AI Machine Learning or a related field.
12 years of experience in software testing with at least 2 years focused on AIdriven automation.
Strong understanding of machine learning models deep learning architectures and AI lifecycle management.
Handson experience with AIpowered testing tools and frameworks
Proficiency in Python Java or other programming languages used in AIdriven testing automation.
Expertise in CI/CD pipelines and automated testing frameworks enhanced with AI capabilities.
Experience in using AI techniques to enhance test automation defect prediction and intelligent test case generation.
Proven leadership experience managing test teams and driving AIdriven transformation in software testing.
Strong analytical skills and the ability to troubleshoot complex software testing challenges.
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