Senior Quality Assurance Engineer
Skills
About This Role
Overview
As a
Senior Quality Assurance Engineer
, you will play a critical role in ensuring the reliability, safety, and performance of our AI-driven products and software platforms.
This position requires a deep understanding of both software testing methodologies and the unique challenges presented by AI systems, including model evaluation, fairness, robustness, and multi-modal feature testing.
You will collaborate closely with cross-functional teams to develop comprehensive test strategies covering both AI components and conventional software systems.
Arabic language proficiency is preferred to support certain data and product validation tasks.
Key Responsibilities
- Design and implement comprehensive test plans and test cases for AI-powered applications, APIs, and platform features.
- Develop automated testing frameworks for AI models, data pipelines, and software features, primarily leveraging Python.
- Evaluate AI model outputs for correctness, fairness, robustness, and consistency across various tasks and datasets.
- Collaborate with AI researchers, data scientists, and engineers to define testing metrics and acceptance criteria for AI models.
- Conduct manual and exploratory testing where automation is insufficient, especially for AI feature behavior.
- Perform end-to-end testing across distributed systems, APIs, databases, web applications, and model inference pipelines.
- Implement performance testing for both AI inference and software systems to ensure responsiveness and scalability.
- Develop continuous integration (CI) and continuous deployment (CD) pipelines to ensure reliable and repeatable testing processes.
- Track, analyze, and report defects and quality metrics to stakeholders, driving root cause analysis and resolution.
- Contribute to internal quality standards, best practices, and documentation to strengthen the QA function within IFM.
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