Develop and design liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data.
Build and optimize deep learning models specifically for liveness detection.
Identify and extract features from biometric data that are crucial for detecting spoofing attempts.
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.

Machine Learning Expertise
Programming Skills
Analytical Skills
Collaboration Skills
Experience in similar roles focusing on anti-spoofing or biometric security systems
Bachelor's degree in Computer Science, Mathematics, or a related field
Familiarity with anti-spoofing standards for biometrics such as NIST ISO/IEC 30107 or FIDO
Innovative mindset with a passion for continuous learning and keeping up with the latest advancements in AI and machine learning technologies

Senior Software Engineer – Computer Vision

Key skills