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

*

IMMEDIATE JOINERS ALERT!

We're looking for candidates who can join immediately.

If you're available, please send your CV via WhatsApp only to: (phone hidden)

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, rapid-paced environments

📌 QA Engineer | 4-6 years | BangaloreH (Bengaluru)
🏢 Gryphon Hytech Services
📍 Bengaluru