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.
Feature Engineering: Identify and extract features from biometric data that are crucial for detecting spoofing attempts.
Data Collection and Preprocessing: Collaborate with data scientists to collect, clean, and preprocess large datasets required for training liveness detection models.
Algorithm Implementation: Implement machine learning algorithms capable of processing real time biometric data to detect inconsistencies indicative of spoofing attempts.
System Testing and Validation: Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios.
Monitoring and Maintenance: Deploy liveness detection systems into production environments, ensuring scalability and high performance.
Requirements
Machine Learning Expertise: In-depth understanding of machine learning frameworks such as TensorFlow, Keras, or PyTorch.
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.
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.
Tech Stack
Java
Keras
Python
PyTorch
Tensorflow
Benefits
Discounted Health plan rate and Optical Assistance