QA Engineer
# QA Engineer **Mindgraph Solutions Sdn Bhd** · Changi · `On-site` 🕒 **Статус:** *Опубликовано: 8 дней назад* · *Источник: Indeed* --- ### About the Role Key Responsibilities: Quality Assurance & Testing - Design, develop, and execute test plans, test cases, and test scripts for AI-powered applications and services. - Perform functional, integration, system, regression, and user acceptance testing (UAT) support. - Validate end-to-end workflows across AI applications, APIs, and integrated systems. - Identify, document, track, and verify resolution of defects and issues. Model Upgrade Validation - Support testing and validation activities during AI model upgrades. - Conduct model output comparisons and regression testing to assess the impact of model changes. - Validate model performance against predefined quality metrics such as accuracy, relevance, consistency, and completeness. Technology Upgrade & Release Support - Support testing for AI models during infrastructure, platform, security, and technology upgrades. - Validate system stability following upgrades to application frameworks, libraries, APIs, and supporting technologies. - Participate in release readiness reviews, production deployment validation, and post-release verification. - Ensure appropriate test evidence and documentation are maintained for audit and governance purposes. Operational Support - Support production incident investigations related to model or technology changes. - Assist with root cause analysis and validation of fixes. - Monitor service quality trends and provide recommendations for quality improvements. - Work closely with Group Operations and Technology teams to ensure service reliability and business continuity. Requirements: Education & Experience - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. - 6-9 years of experience in software quality assurance, testing, or quality engineering. - Experience supporting enterprise applications, AI/ML solutions, or digital platforms is preferred. - Experience in banking, financial services, or operations environments is advantageous. Technical Skills - Strong understanding of software testing methodologies and SDLC/STLC processes. - Experience with API testing tools such as Postman, Swagger, or equivalent. - Familiarity with SQL and data validation techniques. - Knowledge of test automation frameworks and scripting languages (e.g., Python, Selenium, Playwright). - Understanding of CI/CD pipelines and DevOps practices. - Familiarity with AI/ML or GenAI concepts, model testing, and prompt validation. - Exposure to monitoring, logging, and observability tools is a plus. Functional Competencies - Strong analytical and problem-solving skills. - Ability to interpret test results and identify root causes of issues. - Excellent attention to detail and commitment to quality. - Strong communication and stakeholder management skills. - Ability to work independently in a fast-paced and evolving environment. Preferred Skills - Experience testing AI, GenAI, chatbot, or machine learning solutions. - Experience validating model performance and conducting AI regression testing. - Knowledge of model governance, risk controls, and change management processes. Pay: $7,500.00 - $8,000.00 per month Benefits: - Health insurance - Professional development Work Location: In person
Наблюдалась 2026-10-06, впервые 2026-09-28, источник — Indeed.