Key skills
SeleniumAIMLNLPJiraAgileScrum
About this role
Role Overview
- Act as a QA Analyst for AI-driven projects.
- Perform end-to-end testing of AI-based applications and workflows.
- Validate systems that process and transform complex business and technical requirements.
- Ensure quality of solutions involving data extraction, rule-based logic, and generated outputs.
- Test NLP-based interfaces for accuracy, usability, and recommendations.
- Collaborate closely with Business, Functional, and IT teams.
Requirements
- 6–8+ years of experience in Manual QA/ Testing.
- Experience in end-to-end testing of complex applications.
- Exposure to AI-based systems / data-driven applications.
- Strong skills in test case design, execution & defect management.
- Good understanding of system integration & API testing.
- Ability to work with cross-functional teams (Business & IT).
- Familiarity with Agile/Scrum.
- Good To Have Skills : Experience in Manufacturing/ industrial domain.
- Exposure to AI/ML concepts (NLP, recommendations, data validation).
- Experience testing chatbots/ conversational interfaces.
- Basic knowledge of automation tools (Selenium, etc.).
- Experience with test tools (JIRA, TestRail, Zephyr).
Tech Stack
- Selenium
Benefits
- Employees can work remotely