Our client, a leading financial institution, is seeking an AI QA Engineer to join their rapidly expanding digitalization team. This is an exciting opportunity to contribute to innovative initiatives, playing a key role in driving automation testing for cutting-edge AI projects before they reach end users.

Responsibilities

• Develop and execute comprehensive test plans for AI systems and web applications integrated with GenAI to ensure accuracy and reliability.
• Create, maintain, and execute both automated test scripts and manual testing procedures to assess system functionalities.
• Conduct performance, load, functional, UI/UX, regression, and cross-browser testing to ensure a consistent user experience across various devices and platforms.
• Evaluate AI models for fairness, bias, and ethical considerations, while monitoring deployed systems for performance drift and providing feedback for retraining or optimization.
• Monitor and analyze model performance metrics to identify areas for improvement.
• Conduct thorough testing of AI models to validate their functionality and performance.
• Collaborate with cross-functional teams to understand requirements and deliver high-quality AI products.

Key Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in software automation testing.
• Proficiency with test automation tools like Selenium and API testing tools such as Postman.
• Solid understanding of AI or machine learning concepts and techniques.
• Familiarity with natural language processing and the AI model lifecycle.
• Experience in system integration testing across API connections.
• Knowledge of testing and quality assurance processes for AI systems.
• Familiarity with model performance metrics and evaluation techniques.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills in English and Chinese. 

Nice to Haves

• Master's degree in a relevant field.
• Certification in AI or machine learning.

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