Job
Description
As a QA / AI Tester, your role will involve ensuring the quality, accuracy, and performance of software applications, with a special focus on AI-driven solutions. You will be responsible for designing test cases, executing manual and automated tests, and validating the functionality, usability, and reliability of applications before release. Key Responsibilities: - Understand business requirements and translate them into test scenarios and test cases. - Perform manual and automated testing for web, mobile, and AI-based applications. - Validate AI/ML models by testing accuracy, relevance, bias, and performance. - Conduct functional, regression, integration, system, and UAT testing. - Develop and maintain automated test scripts using tools like Selenium, PyTest, JUnit, or similar frameworks. - Test APIs and backend systems using Postman, JMeter, or similar tools. - Identify, document, and track bugs using tools like JIRA, Bugzilla, or Azure DevOps. - Collaborate with developers, product managers, and data scientists to ensure smooth releases. - Ensure applications meet performance, scalability, and security standards. - Prepare test reports, quality metrics, and documentation for stakeholders. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Engineering, or related field. - 1-3 years of experience in Software Testing / QA (Freshers with strong skills can also apply). - Strong knowledge of manual testing concepts and SDLC/STLC. - Hands-on experience with automation frameworks (Selenium, Cypress, Robot Framework, etc.). - Knowledge of AI/ML testing concepts - model validation, data testing, bias detection (preferred, not mandatory). - Experience in API testing (REST, SOAP). - Familiarity with SQL and database validation. - Good understanding of Agile/Scrum methodologies. - Strong analytical, problem-solving, and communication skills. Good to Have (Preferred Skills): - Exposure to AI tools and platforms (TensorFlow, PyTorch, or similar). - Experience with performance/load testing tools like JMeter or LoadRunner. - Knowledge of CI/CD pipelines and DevOps tools (Jenkins, Git, Docker). - ISTQB or equivalent certification. In addition to the above, the company offers: - Opportunity to work on cutting-edge AI and digital solutions. - Friendly, collaborative, and growth-oriented work culture. - Professional development and upskilling opportunities. As a QA / AI Tester, your role will involve ensuring the quality, accuracy, and performance of software applications, with a special focus on AI-driven solutions. You will be responsible for designing test cases, executing manual and automated tests, and validating the functionality, usability, and reliability of applications before release. Key Responsibilities: - Understand business requirements and translate them into test scenarios and test cases. - Perform manual and automated testing for web, mobile, and AI-based applications. - Validate AI/ML models by testing accuracy, relevance, bias, and performance. - Conduct functional, regression, integration, system, and UAT testing. - Develop and maintain automated test scripts using tools like Selenium, PyTest, JUnit, or similar frameworks. - Test APIs and backend systems using Postman, JMeter, or similar tools. - Identify, document, and track bugs using tools like JIRA, Bugzilla, or Azure DevOps. - Collaborate with developers, product managers, and data scientists to ensure smooth releases. - Ensure applications meet performance, scalability, and security standards. - Prepare test reports, quality metrics, and documentation for stakeholders. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Engineering, or related field. - 1-3 years of experience in Software Testing / QA (Freshers with strong skills can also apply). - Strong knowledge of manual testing concepts and SDLC/STLC. - Hands-on experience with automation frameworks (Selenium, Cypress, Robot Framework, etc.). - Knowledge of AI/ML testing concepts - model validation, data testing, bias detection (preferred, not mandatory). - Experience in API testing (REST, SOAP). - Familiarity with SQL and database validation. - Good understanding of Agile/Scrum methodologies. - Strong analytical, problem-solving, and communication skills. Good to Have (Preferred Skills): - Exposure to AI tools and platforms (TensorFlow, PyTorch, or similar). - Experience with performance/load testing tools like JMeter or LoadRunner. - Knowledge of CI/CD pipelines and DevOps tools (Jenkins, Git, Docker). - ISTQB or equivalent certification. In addition to the above, the company offers: - Opportunity to work on cutting-edge AI and digital solutions. - Friendly, collaborative, and growth-oriented work culture. - Professional development and upskilling opportunities.
