Quality Assurance Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Quality Assurance Engineer (AI): Conducting meticulous quality assurance and testing for big data and GenAI-driven analytics products with an accent on data integrity and standards compliance. Focus on developing comprehensive test plans, executing functional and performance tests, and ensuring seamless compatibility between new programs and existing systems.
Location: Abu Dhabi, United Arab Emirates
Company
is a leading big data analytics company powered by GenAI, providing insight-driven decision-making solutions for public and private sectors.
What you will do
- Develop application test plans and test cases based on technical specifications from Product and Technology teams.
- Conduct quality assurance, functional, stress, performance, and scalability testing for new and existing solutions.
- Assess application security controls and ensure strict adherence to data integrity standards.
- Review project objectives to propose and test modifications for improving application performance.
- Maintain detailed records of application changes and generate bug reports for support teams.
- Prepare reference documents and operating guides for end-users.
Requirements
- Bachelor's degree in AI, Computer Science, Business Analytics, Engineering, or a related field.
- 3+ years of experience in software quality assurance and testing within a product development or analytics organization.
- Proficiency with web application testing tools such as Postman, SoapUI, Robot, Selenium, Cypress, or Playwright.
- Experience with test management tools including JIRA, Confluence, TestRail, or QC.
- 3+ years of experience with Agile development methodologies in an AI service or analytics environment.
- Location: Must be based in Abu Dhabi, United Arab Emirates
Nice to have
- Programming ability in Java, Python, or JavaScript.
- Experience with big data and AI technologies such as SQL jobs, Spark, or ElasticSearch.
- Knowledge of Tech-ops tools including Kubernetes, Docker, Shell, and cloud services.
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