Role Overview
We are looking for an experienced AI QA Engineer who can ensure the quality, reliability, accuracy, and performance of AI/ML-powered applications.
The candidate should have robust experience in software testing and automation, with specific exposure to AI/ML testing, model-output validation, API testing, data validation, and performance testing.

Educational Qualification
(link removed) in Computer Science, Data Science, Information Technology, or a related field.

Key Responsibilities
Design and implement comprehensive test strategies, test plans, and test cases for AI/ML-powered applications.
Perform functional, regression, integration, and performance testing.
Validate AI/ML model outputs, accuracy, data quality, fairness, and bias.
Develop and maintain automated testing frameworks and regression suites.
Perform API testing and validate REST/GraphQL services and microservices.
Validate data pipelines, ETL processes, and database operations.
Identify, document, track, and resolve software defects.
Integrate automated testing into CI/CD pipelines.




Conduct load, stress, and performance testing.
Monitor production AI systems for accuracy degradation, model drift, and reliability issues.
Ensure appropriate testing for security, privacy, access controls, and compliance.
Mandatory Technical Skills
Programming and Automation
Python.
SQL.
Basic R.
Selenium.
Pytest.
TestNG.
Cypress.
Testing
Functional Testing.
Regression Testing.
Performance Testing.
Data Validation.
AI/ML Model Testing.
NLP and Computer Vision Testing.
API Testing.
Automation Testing.
Load and Stress Testing.
API and Database Testing
REST APIs.
GraphQL.
Microservices.
ETL Testing.
Database Validation.
Postman.
Testing Tools and CI/CD
Jira.
TestRail.
Jenkins.
CI/CD automation.
Cloud and Security
AWS / Azure / GCP.
Security and privacy testing.
Access control and encryption validation.
Compliance testing.

📌 AI QA ENGINEER (New Delhi)
🏢 Enormous Enterprise
📍 New Delhi