Software Architect at IT - Strat improving end - to - end transaction posting logic and ensuring compliance. Collaborate on solutions and support new technologies in an Agile environment.
About the role
- Senior Software Engineer developing advanced systems to prevent spoofing in biometric authentication. Join LexisNexis Risk Solutions team focused on digital identity verification technology.
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.
- 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.
Benefits
- Discounted Health plan rate and Optical Assistance
- Life assurance and income protection
- Option to buy additional Annual Leave days
- Employee Assistance Program
- Flexible working arrangements
- Access to learning and development resources
Job title
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