Biometric Security Specialist

1 day ago

Melbourne, Victoria, Australia beBeeBiometric Full time $120,000 - $160,000

Job Title: Biometric Security Specialist - Advanced Systems Developer

Develop Advanced Anti-Spoofing Solutions

We seek an expert in AI and deep learning to design and develop cutting-edge biometric security systems capable of detecting spoofing attacks during authentication processes. This role involves creating machine learning models that can differentiate between genuine human interactions and fraudulent attempts.

About the Role:
  • Liveness Detection System Design: Develop advanced liveness detection systems utilizing AI algorithms to distinguish between real and fake biometric data.
  • Deep Learning Model Development: Build and optimize deep learning models specifically for liveness detection, selecting appropriate algorithms and conducting experiments to enhance accuracy and reliability.
  • Feature Engineering: Identify and extract features from biometric data essential for detecting spoofing attempts, including texture analysis, motion-based detection, and 3D depth analysis.
  • Data Collection and Preprocessing: Collaborate with data scientists to collect, clean, and preprocess large datasets required for training liveness detection models.
  • Algorithm Implementation: Implement machine learning algorithms capable of processing real-time biometric data to detect inconsistencies indicative of spoofing attempts.
  • System Testing and Validation: Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios and validate models against various spoofing techniques.
  • Monitoring and Maintenance: Deploy liveness detection systems into production environments, ensuring scalability and high performance, and continuously monitor system outputs to identify any issues with accuracy or efficiency.
Required Skills and Qualifications:
  • Machine Learning Expertise: In-depth understanding of machine learning frameworks such as TensorFlow, Keras, or PyTorch, and experience in developing deep learning models is essential.
  • Programming Skills: Proficiency in programming languages such as Python, Java, or R for model development and algorithm implementation.
  • Analytical Skills: Strong problem-solving abilities with a solid grasp of statistics, probability theory, and data analysis techniques.
  • Collaboration Skills: Ability to work effectively with cross-functional teams to achieve common goals.
  • Experience in Similar Roles: Proven track record in similar roles focusing on anti-spoofing or biometric security systems.

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