Key Responsibilities

- Perform manual and automated testing of AI/ML applications.

- Develop and maintain automation frameworks for AI-based solutions.

- Test Natural Language Processing (NLP) and Computer Vision (CV) models.

- Validate datasets for accuracy, completeness, consistency, and quality.

- Evaluate AI model outputs, accuracy, reliability, and robustness.

- Design and execute test cases, test scenarios, and regression suites.

- Identify, document, and track defects in AI/ML systems.

- Collaborate with AI/ML engineers, data scientists, and developers to improve product quality.

- Perform API, functional, integration, and performance testing.

Key Skills & ATS Keywords

- AI QA / AI Testing

- Manual Testing

- Automation Testing

- AI/ML Testing

- NLP Testing

- Computer Vision Testing

- Test Automation Frameworks

- Python

- Machine Learning Model Validation

- Data Quality Testing

- Dataset Validation

- API Testing

- Functional & Regression Testing

- Model Accuracy and Performance Evaluation

- Defect Tracking

- Test Case Design

- Selenium / PyTest (as applicable)

- Generative AI Testing / LLM Testing (if applicable).

📌 AI QA Engineer (Delhi)
🏢 Wits Innovation Lab
📍 Delhi