AI QA tester

Required Information Details
1 Role** AI QA Engineer
2 Required Technical Skill Set** AI Testing, Test Automation, Data Validation, Performance/API/Security Testing
3 No of Requirements**

4 Desired Experience Range** 4-6 Years
5 Location of Requirement New Delhi

Desired Competencies (Technical/Behavioral Competency/Skills)

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

Good 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