Principal Quality Assurance Engineer

1 day ago


Pune, India CareerXperts Consulting Full time

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. 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. 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. 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. ~ Location: Pune (Hybrid) Experience: 5–7 years Proven experience in Agentic AI testing



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