CACTUS is a remote-first organization and we embrace an accelerate from anywhere culture. You may be
required to travel to our Mumbai office based on business requirements or for company/team events.

Job Description :

We are looking for an AI QA Engineer to ensure the quality, reliability, and ethical compliance of AI-driven systems. In this role, you will design and execute testing strategies for machine learning models, validate data and outputs, and collaborate with cross-functional teams to deliver robust, production-ready AI solutions. If you are passionate about testing intelligent systems and ensuring responsible AI performance at scale, this role offers strong ownership and impact.

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 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 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 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.

Requirements :

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

- Certification in Quality Assurance or Test Automation preferred.

- 4 to 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.

Technical Competencies :

- 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

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

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

- 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.

About Cactus :

Established in 2002, Cactus Communications (cactusglobal.com) is a leading technology company that
specializes in expert services and AI-driven products which improve how research gets funded, published,
communicated, and discovered. Its flagship brand Editage offers a comprehensive suite of researcher
solutions, including expert services and cutting-edge AI products like Mind the Graph, Paperpal, and R
Discovery. With offices in Princeton, London, Singapore, Beijing, Shanghai, Seoul, Tokyo, and Mumbai and
a global workforce of over 3,000 experts, CACTUS is a pioneer in workplace best practices and has been
consistently recognized as a great place to work.