QA Engineer | 4-6 Years | Bangalore | C2H

Role : QA Engineer

Experience: 4-6 Years

Engagement Type: Client Project, Individual contributor

Type of Hire: C2H

Notice period: Immediate Joiners

Location: Bangalore - 4 days WFO

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IMMEDIATE JOINERS ALERT!

We're looking for candidates who can join immediately.

If you're available, please send your CV via WhatsApp only to: 9076159575

Please note: No calls will be entertained. ****************************************************************************

About the Role

We are looking for a skilled QA Engineer to join a data and AI-driven engagement in the pharma commercial space. You will be responsible for ensuring the quality, reliability, and AI-readiness of a modern application stack spanning React frontends and Python-based backend services including AI/ML components.

Key Responsibilities

• Design, develop, and execute test plans covering frontend (React) and backend (Python/REST APIs) components
• Build and maintain automated test suites for UI, API, and integration layers
• Conduct AI readiness assessments validating model inputs/outputs, data pipelines, edge cases, hallucination risks, and performance thresholds for AI-powered features
• Collaborate with data scientists and engineers to define acceptance criteria for ML models and AI algorithms
• Perform regression, functional, performance, and UAT testing across release cycles
• Identify, document, and track defects; work with dev teams to resolve and retest
• Contribute to CI/CD pipelines by integrating automated tests and quality gates
• Validate data accuracy and consistency relevant to pharma commercial workflows (e.g., sales force, HCP/HCO data, market access)
• Participate in sprint ceremonies and provide QA sign-off for production releases

Required Skills & Experience

• 46 years of hands-on QA/testing experience in software product or analytics environments
• Strong experience testing React-based frontend applications (component testing, E2E using tools like Cypress, Playwright, or Selenium)
• Proficiency in backend/API testing with Python (pytest, requests, or similar frameworks)
• Exposure to testing AI/ML systems — model validation, output consistency checks, data drift, and non-deterministic behavior handling
• Familiarity with CI/CD tools (GitHub Actions, Jenkins, or similar) and integrating tests into pipelines
• Solid understanding of test design principles — boundary value, equivalence partitioning, exploratory testing
• Strong documentation skills for test cases, defect reports, and QA sign-off summaries

Good to Have

• Prior experience in the pharma commercial domain — understanding of HCP/HCO targeting, sales force effectiveness, market access, or promotional analytics
• Experience with performance/load testing tools (Locust, JMeter, k6)
• Familiarity with MLflow, model registries, or AI observability tools
• Understanding of data quality frameworks and validation for structured/unstructured data

Soft Skills

• Strong analytical and problem-solving mindset
• Ability to work in cross-functional teams with engineers, data scientists, and business stakeholders
• Clear communication — able to explain defects and quality risks to both technical and non-technical audiences
• Self-driven with attention to detail in ambiguous, fast-paced environments