Job summary
AI Quality Assurance Engineer at TAWANTECH in Riyadh responsible for verifying the quality, accuracy, reliability, and performance of AI/ML solutions. The role creates and runs testing strategies for models, data pipelines, APIs and production deployments, and monitors model behaviour in production.
Key responsibilities
- Develop and implement QA and testing strategies for AI/ML solutions
- Validate models for accuracy, robustness, consistency, and performance
- Design test cases for models, AI applications, APIs, and data pipelines
- Perform data quality, validation, and integrity testing
- Test outputs for bias, hallucination, reliability, and consistency
- Conduct regression, integration, functional, performance, and automated tests
- Establish quality gates and acceptance criteria for model deployment
- Monitor production performance and detect model or data drift
Requirements
- Bachelor’s degree in Computer Science, Data Science, AI, Engineering or related field
- 5+ years in QA, AI/ML testing, software testing, or data quality
- Strong understanding of ML/AI lifecycle processes
- Experience with Python and automated testing frameworks
- Knowledge of SQL and data validation techniques
- Experience with APIs, cloud platforms, CI/CD, and version control
- Familiarity with model evaluation metrics and monitoring
- Strong analytical, problem-solving, and communication skills
Skills
PythonAutomated testingSQLCI/CDAPI testingModel evaluation metricsModel monitoringData validationRegression testingVersion control
Source: Workable. Last checked as open: 14 Nov 2026. You apply directly with the employer.
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