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 Recent 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

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Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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