QA Engineer

• 4–6 years of hands-on experience in Quality Assurance and software testing within software product or analytics environments.
• Strong experience testing React-based frontend applications, including component testing and end-to-end testing.
• Proficiency in frontend automation tools such as Cypress, Playwright, or Selenium.
• Strong backend and REST API testing experience using Python-based frameworks such as Pytest and Requests.
• Exposure to testing AI/ML systems, including model validation, output consistency checks, data drift detection, and handling non-deterministic behaviour.
• Familiarity with CI/CD tools such as GitHub Actions, Jenkins, or similar platforms, including automated test integration.
• Solid understanding of test design techniques, including boundary value analysis, equivalence partitioning, and exploratory testing.
• Strong documentation skills for preparing test cases, defect reports, test results, and QA sign-off summaries.

• →Design, develop, and execute comprehensive test plans covering frontend applications built with React and backend systems using Python and REST APIs.
• →Build, maintain, and enhance automated test suites across UI, API, and integration layers.
• →Conduct AI readiness assessments by validating model inputs and outputs, data pipelines, edge cases, hallucination risks, and performance thresholds for AI-powered features.
• →Collaborate with data scientists and engineering teams to define acceptance criteria for machine learning models and AI algorithms.
• →Perform functional, regression, performance, and User Acceptance Testing (UAT) across development and release cycles.
• →Identify, document, track, and manage software defects while coordinating with development teams for resolution and retesting.
• →Integrate automated test cases into CI/CD pipelines and contribute to implementing quality gates.
• →Validate data accuracy and consistency across pharmaceutical commercial workflows, including sales force data, HCP/HCO information, and market access.
• →Participate in sprint planning, reviews, and other Agile ceremonies.
• →Provide QA sign-off and ensure product quality before production releases.

• Prior experience in the pharmaceutical commercial domain, with an understanding of HCP/HCO targeting, sales force effectiveness, market access, or promotional analytics.
• Experience with performance and load testing tools such as Locust, JMeter, or k6.
• Familiarity with MLflow, model registries, and AI observability tools.
• Understanding of data quality frameworks and validation techniques for structured and unstructured data.
• Exposure to AI/ML testing methodologies and quality assurance practices.

• Strong analytical, troubleshooting, and problem-solving abilities.
• Ability to collaborate effectively with engineers, data scientists, and business stakeholders.
• Excellent verbal and written communication skills, with the ability to explain defects and quality risks to technical and non-technical audiences.
• Self-driven approach with strong attention to detail.
• Ability to work effectively in ambiguous, fast-paced environments while managing multiple priorities.

Must-Have: QA, React, Python

Good-to-Have: AI/ML, GitHub Actions