Roles and Responsibilities :

- Must-Have**

AI Testing: Model validation, bias detection, fairness testing, AI output verification, and responsible AI compliance testing Test Automation: Selenium, pytest, TestNG, Cypress for automated testing frameworks and continuous integration

Programming Languages: Python for test scripting, SQL for data validation, basic understanding of R for statistical testing

Data Validation: Data quality testing, ETL testing, data pipeline validation, and database testing techniques

Testing Tools: Jira, TestRail, Postman for API testing, Jenkins for CI/CD testing pipelines

Positive to Have

Performance Testing: Load testing, stress testing, and performance monitoring for AI services and data processing systems

Security Testing: Data privacy validation, access control testing, encryption verification, and compliance audit support

Cloud Testing: AWS, Azure, GCP testing environments, cloud service validation, and multi-environment testing strategies

API Testing: REST API testing, GraphQL testing,



microservices testing, and integration testing methodologies

Keywords for Sourcing** (Internal use)

SN Responsibility of / Expectations from the Role**

1 Design and execute comprehensive testing strategies for AI services including functional, performance, and bias testing

2 Create detailed test plans, test cases, and regression testing suites specifically tailored for AI/ML applications and government use cases

3 Perform model validation testing, data quality assessment, and AI output accuracy verification against business requirements

4 Conduct fairness testing, bias detection, and ethical AI compliance validation for government AI applications

5 Execute automated testing frameworks for continuous integration and deployment of AI services

6 Validate AI service integration points, API functionality, and data pipeline integrity

📌 Test Engineer (New Delhi)
🏢 Crown Solutions
📍 New Delhi