AI QA Engineer

WITS INNOVATION LAB; Delhi; On-site; INR 1,035,000 - 1,265,000; Full time

Benefits offered by this job

Flexible schedule

Health insurance

Life insurance

Provident Fund

Job summary

WITS INNOVATION LAB is seeking an AI QA Engineer to join our Delhi-based, in-person team. You will design and execute testing strategies for AI services, including functional, performance, and bias testing, working closely with data scientists and ML engineers.

The ideal candidate has 4–6 years of QA experience in AI/ML or data-driven platforms, with expertise in NLP, CV, data validation, and CI/CD automation using Selenium, pytest, and Jenkins.

Qualifications

• 4–6 years in quality assurance for AI/ML systems or data-driven platforms.
• Experience in functional, performance, and data validation testing of AI models.
• Familiarity with testing frameworks for NLP, CV, and data-centric applications.

Responsibilities

• Design and execute comprehensive testing strategies for AI services including functional, performance, and bias testing
• Create detailed test plans, test cases, and regression testing suites specifically tailored for AI/ML applications and government use cases
• Perform model validation testing, data quality assessment, and AI output accuracy verification against business requirements
• Conduct fairness testing, bias detection, and ethical AI compliance validation for government AI applications
• Maintain comprehensive logs of defects, issues, and resolution tracking across development, staging, and production environments
• Collaborate with data scientists and ML engineers to establish testing protocols for model performance and reliability
• Execute automated testing frameworks for continuous integration and deployment of AI services
• Validate AI service integration points, API functionality, and data pipeline integrity
• Monitor production AI systems for performance degradation, accuracy drift, and compliance violations

Skills

AI Testing

Test Automation

Python

SQL

API Testing

Cloud Testing

Education

B.Tech / M.Sc. in CS, Data Science or related

QA / Test Automation certification (preferred)

Tools

Selenium

pytest

TestNG

Cypress

Jira

TestRail

Postman

Jenkins

Job description

AI QA Engineer |

• Experience: 4+ Years |
• Location: Delhi |
• Role: Full-Time

Educational Qualification

B.Tech / M.Sc. in Computer Science, Data Science, or related fields.

Certification in Quality Assurance or Test Automation preferred.

Experience

• 4-6 years in quality assurance for AI/ML systems or data-driven platforms.
• Experience in functional, performance, and data validation testing of Al models.
• Familiarity with testing frameworks for NIP, CV, and data-centric applications.

Key Responsibilities

• Design and execute comprehensive testing strategies for Al services including functional, performance, and bias testing
• Create detailed test plans, test cases, and regression testing suites specifically tailored for AI/ML applications and government use cases
• Perform model validation testing, data quality assessment, and Al output accuracy verification against business requirements
• Conduct fairness testing, bias detection, and ethical AI compliance validation for government Al applications
• Maintain comprehensive logs of defects, issues, and resolution tracking across development, staging, and production environments
• Collaborate with data scientists and ML engineers to establish testing protocols for model performance and reliability
• Execute automated testing frameworks for continuous integration and deployment of AI services
• Validate Al service integration points, API functionality, and data pipeline integrity
• Monitor production AI systems for performance degradation, accuracy drift, and compliance violations

Technical Competencies

• AI Testing: Model validation, bias detection, fairness testing, Al 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
• Testing Tools: Jira, TestRail, Postman for API testing, Jenkins for CI/CD testing
• Data Validation: Data quality testing, ETL testing, data pipeline validation, and database testing techniques
• Performance Testing: Load testing, stress testing, and performance monitoring for Al 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

Pay: Up to ₹1,150,000.00 per year

Benefits

• Flexible schedule
• Health insurance
• Life insurance
• Provident Fund

Location

• Delhi (Preferred)

Work Location: In person