• Understand and evaluate the usage of AI/ML models in medical devices, including algorithm behavior, data integrity, and performance under various clinical scenarios. • Design and execute comprehensive white-box and black-box testing strategies for embedded systems, cloud-based platforms, and AI components. • Apply knowledge of SaMD classification, regulatory frameworks (e.g., FDA, MDR), and quality processes to ensure product compliance and audit readiness. • Lead and contribute to verification and validation (V&V) activities across the product lifecycle, ensuring traceability, risk mitigation, and adherence to design controls. • Create and maintain high-quality test plans, protocols, reports, and defect logs aligned with regulatory and internal standards. • Work closely with product managers, data scientists, software engineers, and quality teams to ensure alignment and transparency throughout the development cycle. • Clearly articulate test results, risks, and recommendations to technical and non-technical stakeholders.