AI QA Engineer
Core
Designing and executing test strategies for AI/ML systems, including functional, integration, non-functional, and security testing, to ensure data quality, model stability, and inference performance.
Role type
AI/ML Quality Assurance Engineer
Builds
Production-ready AI/ML systems and data pipelines for civil aviation infrastructure
Domain
Civil Aviation / AI/ML / MLOps
Deliverable
production ML models | product features | dashboards & analysis
Required skills
AI/ML system testing, test data preparation and validation, ML model regression testing, API/UI automation, CI/CD integration, performance testing for inference, MLOps pipeline validation, defect tracking, test strategy documentation
Preferred skills
Experience with golden datasets, model monitoring validation, retraining mechanisms testing, Scrum methodology
Technologies
CI/CD pipelines, API/UI testing frameworks, performance testing tools, MLOps platforms
Responsibilities
Define test cases and datasets for ML functions, automate tests and integrate into CI/CD, validate data quality and model metrics, test inference performance and stability, coordinate with Dev/DE/ML teams for bug replication, optimize QA processes and regression cycles, document test strategies and reports
Seniority
Mid-level, hands-on IC
