Advanced System Developer

1 day ago

Melbourne, Victoria, Australia beBeeBiometric Full time $120,000 - $170,000
Job Title: Advanced System Developer

We are seeking an experienced professional to design and develop advanced systems capable of detecting and preventing spoofing attacks during biometric authentication processes.

This role involves utilizing machine learning and deep learning techniques to create models that can distinguish between genuine human interactions and fraudulent attempts.

Key Responsibilities:

  • Design and implement liveness detection systems using AI algorithms to differentiate between real and fake biometric data.
  • Develop and optimize deep learning models specifically for liveness detection, including selecting appropriate algorithms, conducting experiments, and optimizing model parameters.
  • Extract features from biometric data crucial for detecting spoofing attempts, including texture analysis, motion-based detection, and 3D depth analysis.
  • Collaborate with data scientists to collect, clean, and preprocess large datasets required for training liveness detection models.
  • Implement machine learning algorithms capable of processing real-time biometric data to detect inconsistencies indicative of spoofing attempts.
  • Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios.
  • Deploy liveness detection systems into production environments, ensuring scalability and high performance.

Required Skills:

  • Expertise in machine learning frameworks such as TensorFlow, Keras, or PyTorch.
  • Proficiency in programming languages such as Python, Java, or R.
  • Strong analytical skills with a solid grasp of statistics, probability theory, and data analysis techniques.
  • Ability to work effectively with cross-functional teams to achieve common goals.
  • Experience in similar roles focusing on anti-spoofing or biometric security systems.
  • Bachelor's degree in Computer Science, Mathematics, or a related field.

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