QA Engineer - Generative AI, Support Apps

1 Month ago • All levels • Quality Assurance

Job Summary

Job Description

As a QA Engineer focused on Generative AI Product operations, we design and implement robust testing strategies for Generative AI solutions. Testing will include functionality, performance, accuracy and production sampling. Using the latest emerging AI technology, we test feature quality and assess customer experience. We will also collaborate with data scientists, ML engineers, and product teams to define testing requirements and identify potential risks. We develop and maintain automated test suites for AI/ML pipelines and APIs. Test data preprocessing pipelines and ensure data quality for AI model training. We validate AI generative solutions for bias, fairness, and ethical compliance. Perform load, stress, and security testing on solutions to ensure reliability. In this role, you will be the SME for auditing Generative AI quality across the AppleCare Digital platform. Collaboration, detailed troubleshooting, effective communication of issues, and timely resolution are critical skills required to succeed.

Job Details

As a QA Engineer focused on Generative AI Product operations, we design and implement robust testing strategies for Generative AI solutions. Testing will include functionality, performance, accuracy and production sampling. Using the latest emerging AI technology, we test feature quality and assess customer experience. We will also collaborate with data scientists, ML engineers, and product teams to define testing requirements and identify potential risks. We develop and maintain automated test suites for AI/ML pipelines and APIs. Test data preprocessing pipelines and ensure data quality for AI model training. We validate AI generative solutions for bias, fairness, and ethical compliance. Perform load, stress, and security testing on solutions to ensure reliability. In this role, you will be the SME for auditing Generative AI quality across the AppleCare Digital platform. Collaboration, detailed troubleshooting, effective communication of issues, and timely resolution are critical skills required to succeed.

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