AI QA Engineer: Automate & Validate AI-Driven Apps

Argyll Scott

Kuala Lumpur

Sur place

MYR 60 000 - 100 000

Plein temps

Il y a 2 jours
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Résumé du poste

Argyll Scott Asia is seeking an experienced Automation QA Engineer to join the AI Factory Squad and safeguard quality across AI-enabled products. You will build automated testing frameworks, validate AI features, and embed quality practices throughout the SDLC.

Responsibilities include designing tests for web apps, APIs, and AI-driven systems, integrating tests into CI/CD, and collaborating with engineers, AI/ML specialists, product managers, and stakeholders to identify and fix defects and

Qualifications

Responsabilités

  • Design, develop, and maintain automated testing frameworks for web applications, APIs, and AI-enabled products.
  • Create and execute functional, integration, regression, end-to-end, performance, and reliability tests.
  • Validate AI-driven features, including model outputs, accuracy, consistency, bias, edge cases, and failure scenarios.
  • Define test strategies, plans, scenarios, and acceptance criteria based on business and technical requirements.
  • Integrate automated testing into CI/CD pipelines.
  • Work closely with software engineers, AI/ML specialists, product managers, and other stakeholders to ensure product quality.
  • Identify, document, and track defects while supporting root-cause analysis and resolution.
  • Develop reusable test scripts and tools to improve testing efficiency and coverage.
  • Perform API, database, and data validation across systems and third-party integrations.
  • Monitor test results and provide clear quality metrics and insights to the squad.
  • Promote quality engineering standards and continuous improvement across the delivery lifecycle.

Description du poste

Argyll Scott Asia is seeking an experienced Automation QA Engineer to join the AI Factory Squad and safeguard quality across AI-enabled products. You will build automated testing frameworks, validate AI features, and embed quality practices throughout the SDLC.

Responsibilities include designing tests for web apps, APIs, and AI-driven systems, integrating tests into CI/CD, and collaborating with engineers, AI/ML specialists, product managers, and stakeholders to identify and fix defects and

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