Lead QA Engineer– AI/ML & ReactJS (RARR Job 5792)

We are seeking a skilled QA Engineer (Manual + Automation) to ensure the quality of our real-time AI/ML-driven analytics platform built on ReactJS. The role involves validating data pipelines, APIs, and live dashboards that display AI-driven insights from multiple real-time sources.

Key Responsibilities

• Test ReactJS dashboards for data accuracy, usability, and performance.
• Validate real-time alerts, visualizations, and AI predictions.
• Perform manual functional and regression testing across modules.
• Develop automated test suites for UI (Selenium/Cypress) and API (Postman/PyTest).
• Ensure end-to-end validation of data ingestion → ML model → visualization workflows.
• Collaborate with developers and data scientists to resolve issues in UAT and production environments.

Required Skills

• Experience in Manual + Automation Testing.
• Strong in API testing (Postman, RestAssured) and UI testing (Cypress, Selenium, Playwright).
• Hands-on with ReactJS front-end validation and responsive UI testing.
• Working knowledge of Python or JavaScript for automation scripting.
• Familiar with real-time systems, WebSocket or streaming data validation.
• Good understanding of data validation and AI/ML output verification.
• Knowledge of JIRA / Azure DevOps, and CI/CD test integration.

Preferred Skills

• Experience with charts, maps, and data visualization testing.
• Exposure to ML model testing, data accuracy validation, or MLOps pipelines.
• Knowledge of SQL and cloud environments (Azure/AWS).

Preferred Qualifications

• Experience testing AI/ML and Data Science solutions.
• Knowledge of MLOps tools (MLflow, Kubeflow, Vertex AI) preferred.
• Understanding of frontend performance testing and browser debugging tools.
• ISTQB or equivalent QA certification is an advantage.