Senior QA Engineer - AI/ML
global
Job Description
- 5 to 8 years of experience in Manual and Automation testing
- Experience in data quality analysis, profiling, and feature validation
- Understanding of model evaluation metrics and validation of performance results
- Ability to interpret model behavior and explainability outputs
- Experience testing AI APIs and services built using FastAPI or Flask
- Familiarity with cloud-based AI deployments, preferably AWS SageMaker
- Understanding of production ML lifecycle, including deployment validation and monitoring
- Strong analytical, problem-solving, and communication skills for cross-functional collaboration