Senior Biometric Authentication Developer

6 hours ago

Melbourne, Victoria, Australia beBeeBiometric Full time $140,000 - $168,000
Advanced Biometric Authentication Specialist

We seek a highly skilled expert to develop and implement advanced biometric authentication systems. The successful candidate will design and deploy liveness detection systems utilizing AI algorithms to differentiate between real and fake biometric data.

Key Responsibilities:
  • Liveness Detection System Design: Develop and design liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data.
  • Deep Learning Model Development: Build and optimize deep learning models specifically for liveness detection, selecting appropriate algorithms, conducting experiments, and optimizing model parameters to enhance accuracy and reliability.
  • Feature Engineering: Identify and extract features from biometric data that are crucial 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, ensuring data integrity and suitability for model development.
  • Algorithm Implementation: Implement machine learning algorithms capable of processing real-time biometric data to detect inconsistencies indicative of spoofing attempts, integrating multimodal approaches such as facial recognition, fingerprint scanning, and iris recognition.
  • System Testing and Validation: Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios, validating models against various spoofing techniques to ensure robustness.
  • Monitoring and Maintenance: Deploy liveness detection systems into production environments, ensuring scalability and high performance, continuously monitoring system outputs to identify any issues with accuracy or efficiency.

Requirements:

  • Machine Learning Expertise: In-depth understanding of machine learning frameworks such as TensorFlow, Keras, or PyTorch, 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 (including data scientists, software engineers, and product managers) to achieve common goals.
  • Experience in similar roles focusing on anti-spoofing or biometric security systems.

Benefits:

The ideal candidate will have the opportunity to work on cutting-edge biometric authentication projects, collaborating with experienced professionals in the field.

About this Role:

This position requires a strong foundation in machine learning, data analysis, and software development, with a focus on creating innovative solutions for biometric authentication.

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