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