Job Title

Senior Software Engineer II at RELX About The Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering / Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. About Our Team IDVerse is a Sydney-based start-up that is a global pioneer in the development of digital identity verification technology. We have built everything from the ground up and have a broad range of bluechip customers across banking, telecommunications, government and more. We have perfected the technology locally in Australia and New Zealand and are quickly expanding into the northern hemisphere. Join a strong team of passionate engineers and build a worldclass platform to fight identity fraud at a global scale. About The Role The Senior Software Engineer focuses on developing advanced systems to detect and prevent spoofing attacks during biometric authentication processes. This role involves utilizing machine learning and deep learning techniques to create models capable of distinguishing between genuine human interactions and fraudulent attempts. 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 realworld 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 problemsolving abilities with a solid grasp of statistics, probability theory, and data analysis techniques. Collaboration Skills: Ability to work effectively with crossfunctional teams (including data scientists, software engineers, and product managers). Experience in similar roles focusing on antispoofing or biometric security systems. Bachelor''s degree in Computer Science, Mathematics, or a related field. Familiarity with antispoofing standards for biometrics such as NIST ISO / IEC or FIDO. Working for you 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 Benefits for you and your family Access to learning and development resources #J-18808-Ljbffr