AI Maintenance QA Engineer: Upgrades & Reliability

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS); Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS) is seeking a QA Engineer to support the maintenance and continuous improvement of AI services. You will design, execute, and automate testing across the AI service lifecycle, validating model performance and conducting regression testing during upgrades.

You will collaborate with AI Engineers, Data team, and technology partners to ensure quality, reliability, and stability of AI-powered applications in production releases.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline is required.
• 6-9 years of experience in software quality assurance, testing, or quality engineering.
• Experience in testing AI/ML solutions or digital platforms is preferred.
• Experience in banking, financial services, or operations environments is advantageous.

Responsibilities

• 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.
• 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.

Skills

API testing

Postman

Swagger

SQL

Test automation

Python

Selenium

Playwright

CI/CD

DevOps

AI/ML concepts

Model testing

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Postman

Swagger

Jenkins

Git

Job description

RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS) is seeking a QA Engineer to support the maintenance and continuous improvement of AI services. You will design, execute, and automate testing across the AI service lifecycle, validating model performance and conducting regression testing during upgrades.

You will collaborate with AI Engineers, Data team, and technology partners to ensure quality, reliability, and stability of AI-powered applications in production releases.