AI Quality Assurance Engineer

Overview: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.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 testingCreate detailed test plans, test cases, and regression testing suites specifically tailored for AI/ML applications and use casesPerform model validation testing, data quality assessment, and AI output accuracy verification against business requirementsConduct fairness testing, bias detection, and ethical AI compliance validation for AI applicationsMaintain comprehensive logs of defects, issues, and resolution tracking across development, staging, and production environmentsCollaborate with data scientists and ML engineers to establish protocols for model performance and reliabilityExecute automated testing frameworks for continuous integration and deployment of AI servicesValidate AI service integration points, API functionality, and data pipeline integrityMonitor production AI systems for performance degradation, accuracy drift, and compliance violationsRequirements:B.Tech / M.Sc. in Computer Science, Data Science, or related fields.Certification in Quality Assurance or Test Automation preferred.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.Technical Competencies: AI Testing: Model validation, bias detection, fairness testing, AI output verification, and responsible AI compliance testingTest Automation: Selenium, pytest, TestNG, Cypress for automated testing frameworks and continuous integrationProgramming Languages: Python for test scripting, SQL for data validation, basic understanding of R for statistical testingTesting Tools: Jira, TestRail, Postman for API testing, Jenkins for CI/CD testing pipelinesData Validation: Data quality testing, ETL testing, data pipeline validation, and database testing techniquesPerformance Testing: Load testing, stress testing, and performance monitoring for AI services and data processing systemsSecurity Testing: Data privacy validation, access control testing, encryption verification, and compliance audit supportCloud Testing: AWS, Azure, GCP testing environments, cloud service validation, and multi-environment testing strategiesAPI Testing: REST API testing, GraphQL testing, microservices testing, and integration testing methodologies.About Cactus:Established in 2002, CACTUS () 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.

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