We are looking for a QA for a superb product with great social impact.
• Role Overview
We are looking for a skilled and proactive Quality Assurance Tester to support AI generator testing. You’ll ensure all deliverables meet business requirements, quality standards, and deadlines. The role requires some hands-on knowledge/experience with AI or LLMs, strong analytical skills, experience in QA processes, and best practices.
Key Responsibilities:
Design, develop, and execute system, functional, and UAT test plans, test cases, and automation scripts.
Validate business requirements and ensure test coverage through requirement-to-test mapping.
Identify test cases suitable for automation and maintain related documentation.
Perform data migration and reconciliation testing between systems.
Collaborate with developers, analysts, and project managers to clarify requirements and ensure quality delivery.
Track and manage defects; provide detailed test progress and status reports.
Contribute to process improvement and mentor junior team members on QA best practices.
Qualifications:
4+ years of experience in QA, testing, or software development.
Advantage is to have strong background in financial technology, banking systems, and trading applications.
Experience in testing machine learning models (accuracy, robustness, and fairness across diverse datasets).
Some Familiarity with AI pipeline testing (for example, some of the following is strong advantage: data preprocessing, model training, inference and deployment stages).
Strong advantage is knowledge/experience with evaluating AI system outputs for edge cases, bias, explainability, and compliance with ethical guidelines.
Some university degree
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