Tawantech
AI Quality Assurance Engineer
- Permanent
- Riyadh, Saudi Arabia
- Experience 5 - 10 yrs
Job expiry date: 28/11/2026
Job overview
Date posted
14/10/2026
Location
Riyadh, Saudi Arabia
Salary
SAR 20,000 - 30,000 per month
Compensation
Comprehensive package
Experience
5 - 10 yrs
Seniority
Experienced
Qualification
Bachelors degree
Expiration date
28/11/2026
Job description
AI models that work in a notebook can still fail in production, and this AI Quality Assurance Engineer in Riyadh exists to catch those failures first. Testing strategies cover AI models, data pipelines, AI applications, APIs and production deployments. Models are validated for accuracy, consistency, resilience and performance, and outputs are checked for bias, hallucination and reliability where relevant. Data quality matters just as much, so data validation and integrity testing run alongside regression, integration, functional and performance tests. Quality gates and acceptance criteria decide when a model is ready to deploy. Once live, model performance is monitored and model or data drift flagged early. Automation is expected, with QA built into CI/CD pipelines and close work with data scientists, AI and data engineers and business stakeholders. Expect to bring 5 or more years in QA, AI/ML testing, software testing or data quality, with Python, SQL and experience with APIs, cloud platforms and version control.
Required skills
Key responsibilities
- Develop and execute QA and testing strategies for AI/ML solutions
- Validate AI models for accuracy, consistency, resilience and performance
- Design test cases for machine learning models, AI applications, APIs and data pipelines
- Perform data quality, data validation and data integrity testing
- Test AI outputs for accuracy, bias, hallucination, reliability and consistency
- Conduct regression, integration, functional, performance and automated testing
- Establish quality gates and acceptance criteria for AI model deployment
- Monitor model performance and identify model and data drift in production
- Collaborate with Data Scientists, AI Engineers, Data Engineers and business stakeholders
- Automate testing processes and integrate QA into CI/CD pipelines
- Document defects, test results, risks and remediation activities
- Support model governance, auditability and compliance requirements
Experience & skills
- Hold a bachelor's degree in Computer Science, Data Science, AI, Engineering or a related field
- Bring 5 or more years of experience in QA, AI/ML testing, software testing or data quality
- Understand machine learning and AI lifecycle processes
- Program in Python using automated testing frameworks
- Apply SQL and data validation techniques
- Work with APIs, cloud platforms, CI/CD and version control
- Know ML model evaluation metrics and model monitoring practices
- Communicate test findings and risks clearly