Principal QA Engineer

2 weeks ago

Amrāvati, India CareerXperts Consulting Full time

Job Opening: Principal Quality Assurance Engineer - AI/ML We are looking for a visionary Principal QA Engineer to lead the end-to-end Quality Assurance strategy for advanced AI-driven applications. This role is ideal for someone who has deep experience in Agentic AI testing, strong technical leadership, and the ability to build scalable QA frameworks for AI/ML systems. Key Responsibilities Lead AI/ML QA Strategy - Define and evolve the overall QA roadmap for AI/ML models and services. - Establish standards for model testing, data validation, and MLOps pipeline quality. Validate AI Models & Agentic AI Workflows - Test model accuracy, robustness, fairness, drift, and performance. - Ensure reliable and ethical AI outputs using manual and automated evaluation techniques. Build & Scale Automation Frameworks - Develop scalable API and end-to-end automation using Python/Java or similar. - Ensure fast, reliable validation of AI microservices. Cross-functional Quality Ownership - Partner with Developers, ML Engineers, and Product Owners to embed quality from the design stage (Shift-Left). - Drive quality mindset across the ML lifecycle. Data Quality & Analysis - Oversee data integrity, statistical distribution, and input quality for training/inference pipelines. - Conduct deep debugging, RCA, and continuous improvement. Leadership & Mentorship - Guide and mentor QA engineers, uplift technical capabilities, and set best practices. - Evaluate and integrate emerging ML testing tools and frameworks. Required Skills & Experience - 5-7 years of experience in Software Testing/QA. - Minimum 2+ years of hands-on experience testing Agentic AI / AI-ML systems. - Strong understanding of ML model lifecycle, MLOps, and AI testing techniques. - Expertise in API testing (Postman, RestAssured, etc.). - Strong proficiency in Python (preferred) or Java for automation. - Solid understanding of SDLC, MDLC, QA methodologies, and Agile. - Experience mentoring or leading QA/Automation teams. - Excellent communication and analytical skills. Location: Pune (Hybrid) Experience: 5-7 years Mandatory: Proven experience in Agentic AI testing Interested candidates can apply by sending their resume to:

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