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Expert Liveness Detection Professional
2 weeks ago
We are seeking a skilled Advanced Biometric Security Specialist to join our team. This role involves designing and implementing advanced systems to detect and prevent spoofing attacks during biometric authentication processes.
About the Role
This position focuses on developing sophisticated algorithms and models capable of distinguishing between genuine human interactions and fraudulent attempts. You will work closely with cross-functional teams to achieve common goals and ensure the highest level of accuracy and reliability in our liveness detection systems.
Key Responsibilities
- Liveness Detection System Design: Develop and design systems that utilize AI algorithms to differentiate between real and fake biometric data, including facial features, eye movements, and other physiological indicators.
- 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 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, and continuously monitor 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, with experience in developing deep learning models.
- 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: Experience in similar roles focusing on anti-spoofing or biometric security systems, with a Bachelor's degree in Computer Science, Mathematics, or a related field.
- Familiarity: Familiarity with anti-spoofing standards for biometrics such as NIST ISO/IEC 30107 or FIDO, with an innovative mindset and a passion for continuous learning and keeping up with the latest advancements in AI and machine learning technologies.
Benefits
We offer a range of benefits to support your wellbeing and happiness, including a discounted health plan rate, life assurance, income protection, and the option to buy additional annual leave days.
About Us
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form.
