Senior AI Model Testing & Validation Engineer

Senior AI Model Testing & Validation Engineer

6+ Years

Bangalore - Hybrid (Hennur Road)

Immediate Joiners

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 deployment
• Advanced experience validating ML, Deep Learning, and Edge AI models for accuracy, robustness, generalization, and drift
• Strong expertise in model evaluation metrics, statistical validation, cross-validation, and error analysis
• Proven ability to design automated AI validation frameworks and reusable test harnesses in Python
• Deep 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 coexistence
• Expertise 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 devices
• Skilled in protocol-level debugging and connectivity performance analysis

Edge 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 efficiency
• System-level understanding of AI integration with firmware, drivers, and connectivity stacks
• Familiarity with RTOS, embedded Linux, and edge accelerators

MLOps, Quality & Governance

• Strong experience with MLOps pipelines, CI/CD, model versioning, monitoring, and drift detection
• Ability to define validation standards, acceptance criteria, and go/no-go metrics
• Experience producing validation documentation for audits, certifications, and compliance reviews
• Knowledge of Responsible AI and model risk management practices

Nice 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 practices
• Strong cross-functional collaboration with firmware, product, and QA teams

Education & Experience

• Bachelors or Master’s degree in Computer Science, Electrical Engineering, AI, or related field.
• 6+ years of experience in AI/ML, embedded systems, or connectivity testing.

Sincerely,

Sonia TS - HR Recruiter