Advanced System Developer

3 days ago

Sydney, New South Wales, Australia beBeeArtificial Full time $150,000 - $180,000
Key Role

The system developer focuses on creating sophisticated systems to identify and prevent counterfeit attacks during biometric authentication processes.

This role involves utilizing machine learning and deep learning techniques to create models capable of distinguishing between genuine human interactions and fraudulent attempts.

Responsibilities
  • Develop and design detection systems that utilize AI algorithms to differentiate between real and fake biometric data.
  • Build and optimize deep learning models specifically for detection, selecting appropriate algorithms, conducting experiments, and optimizing model parameters to enhance accuracy and reliability.
  • Identify and extract features from biometric data that are crucial for detecting counterfeit attempts, including texture analysis, motion-based detection, and 3D depth analysis.
  • Collaborate with data analysts to collect, clean, and preprocess large datasets required for training detection models, ensuring data integrity and suitability for model development.
  • Implement machine learning algorithms capable of processing real-time biometric data to detect inconsistencies indicative of counterfeit attempts, integrating multimodal approaches such as facial recognition, fingerprint scanning, and iris recognition.
  • Conduct rigorous testing of detection systems to ensure performance in real-world scenarios, validating models against various counterfeit techniques to ensure robustness.
  • Deploy detection systems into production environments, ensuring scalability and high performance, continuously monitoring system outputs to identify any issues with accuracy or efficiency.

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