Biometric Security Professional

6 days ago

Melbourne, Victoria, Australia beBeeLivenessDetection Full time $120,000 - $160,000
Advanced Biometric Security Specialist

We are seeking a highly skilled professional with expertise in developing advanced systems to detect and prevent spoofing attacks during biometric authentication processes.

Liveness Detection System Design
  • Design and develop liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data.

The selected candidate will analyze facial features, eye movements, and other physiological indicators to create accurate models capable of distinguishing between genuine human interactions and fraudulent attempts.

Key Responsibilities:
  1. Develop and optimize deep learning models specifically for liveness detection.
  2. Select appropriate algorithms, conduct experiments, and optimize model parameters to enhance accuracy and reliability.
  3. Feature engineering: identify and extract features from biometric data that are crucial for detecting spoofing attempts.
  4. Analyze texture, motion-based detection, and 3D depth analysis.
  5. Collaborate with data scientists to collect, clean, and preprocess large datasets required for training liveness detection models.
  6. Evaluate data integrity and suitability for model development.
  7. Implement machine learning algorithms capable of processing real-time biometric data to detect inconsistencies indicative of spoofing attempts.
  8. Integrate multimodal approaches such as facial recognition, fingerprint scanning, and iris recognition.
  9. Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios.
  10. Validate models against various spoofing techniques to ensure robustness.
  11. Deploy liveness detection systems into production environments, ensuring scalability and high performance.
  12. Continuously monitor system outputs to identify any issues with accuracy or efficiency.

Requirements: Bachelor's degree in Computer Science, Information Technology, or related field. Experience with deep learning frameworks, programming languages (e.g., Python), and software development tools.

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