Senior AI Model Testing & Validation Engineer

Job Title : Senior AI Model Testing & Validation Engineer We are seeking a AI Model Testing & Validation Engineer with deep expertise in validating AI/ML models and extensive experience with Bluetooth-enabled connected systems. This role requires technical leadership in defining validation strategies for AI models deployed on edge and embedded devices, ensuring performance, reliability, safety, and scalability under real-world connectivity constraints. Key Responsibilities: Core Competencies & Skills Expert in AI/ML model testing and validation across the full lifecycle, from experimentation to production deploymentAdvanced experience validating ML, Deep Learning, and Edge AI models for accuracy, robustness, generalization, and driftStrong expertise in model evaluation metrics, statistical validation, cross-validation, and error analysisProven ability to design automated AI validation frameworks and reusable test harnesses in PythonDeep understanding of bias, fairness, explainability, and AI safety validation (SHAP, LIME, interpretability techniques)Bluetooth & Connectivity Expertise Extensive hands-on experience with Bluetooth Classic and Bluetooth Low Energy (BLE)Strong knowledge of Bluetooth protocols, profiles, pairing, security, power management, and coexistenceExpertise in validating AI model performance under real-world Bluetooth conditions (latency, jitter, packet loss, interference, reconnections)Experience with interoperability testing across chipsets, stacks, OS versions, and devicesSkilled in protocol-level debugging and connectivity performance analysisEdge AI & Embedded Systems Experience validating on-device AI inference on constrained systems (MCUs, DSPs, NPUs)Expertise in testing quantized, compressed, and optimized models for latency, power, and memory efficiencySystem-level understanding of AI integration with firmware, drivers, and connectivity stacksFamiliarity with RTOS, embedded Linux, and edge acceleratorsMLOps, Quality & Governance Strong experience with MLOps pipelines, CI/CD, model versioning, monitoring, and drift detectionAbility to define validation standards, acceptance criteria, and go/no-go metricsExperience producing validation documentation for audits, certifications, and compliance reviewsKnowledge of Responsible AI and model risk management practicesNice to Have Experience in medical devices, wearables, or IoT ecosystems.Knowledge of AI safety, Responsible AI, or model risk management frameworks.Experience validating multimodal or sensor-fusion models.Familiarity with edge accelerators and real-time operating systems (RTOS).Technical leadership in defining AI validation strategy and best practicesStrong cross-functional collaboration with firmware, product, and QA teamsEducation & Experience Bachelors or Masters degree in Computer Science, Electrical Engineering, AI, or related field.6+ years of experience in AI/ML, embedded systems, or connectivity testing. Job Title : Senior AI Model Testing & Validation Engineer We are seeking a AI Model Testing & Validation Engineer with deep expertise in validating AI/ML models and extensive experience with Bluetooth-enabled connected systems. This role requires technical leadership in defining validation strategies for AI models deployed on edge and embedded devices, ensuring performance, reliability, safety, and scalability under real-world connectivity constraints. Key Responsibilities: Core Competencies & Skills Expert in AI/ML model testing and validation across the full lifecycle, from experimentation to production deploymentAdvanced experience validating ML, Deep Learning, and Edge AI models for accuracy, robustness, generalization, and driftStrong expertise in model evaluation metrics, statistical validation, cross-validation, and error analysisProven ability to design automated AI validation frameworks and reusable test harnesses in PythonDeep understanding of bias, fairness, explainability, and AI safety validation (SHAP, LIME, interpretability techniques)Bluetooth & Connectivity Expertise Extensive hands-on experience with Bluetooth Classic and Bluetooth Low Energy (BLE)Strong knowledge of Bluetooth protocols, profiles, pairing, security, power management, and coexistenceExpertise in validating AI model performance under real-world Bluetooth conditions (latency, jitter, packet loss, interference, reconnections)Experience with interoperability testing across chipsets, stacks, OS versions, and devicesSkilled in protocol-level debugging and connectivity performance analysisEdge AI & Embedded Systems Experience validating on-device AI inference on constrained systems (MCUs, DSPs, NPUs)Expertise in testing quantized, compressed, and optimized models for latency, power, and memory efficiencySystem-level understanding of AI integration with firmware, drivers, and connectivity stacksFamiliarity with RTOS, embedded Linux, and edge acceleratorsMLOps, Quality & Governance Strong experience with MLOps pipelines, C