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LexisNexis Risk Solutions

Data-driven risk assessment & analytics solutions

Senior Software Engineer 2

Computer VisionConfirmed live in the last 24 hours
Full-timeNorth Sydney, AustraliaNo salary listedIn-person

About the Job

Requirements

  • In-depth understanding of machine learning frameworks such as TensorFlow, Keras, or PyTorch.
  • Experience developing deep learning models.
  • Proficiency in programming languages such as Python, Java, or R for model development and algorithm implementation.
  • A solid grasp of statistics, probability theory, and data analysis techniques.
  • Ability to work effectively with cross-functional teams, including data scientists, software engineers, and product managers.
  • 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.

Responsibilities

  • Develop and design liveness detection systems that use artificial intelligence algorithms to differentiate between real and fake biometric data, analyzing facial features, eye movements, and other physiological indicators.
  • Build and optimize deep learning models for liveness detection by selecting algorithms, conducting experiments, and optimizing model parameters to improve accuracy and reliability.
  • Identify and extract biometric data features relevant to spoofing detection, including texture analysis, motion-based detection, and 3D depth analysis.
  • Collaborate with data scientists to collect, clean, and preprocess large datasets for training liveness detection models, ensuring data integrity and suitability for model development.
  • Implement machine learning algorithms to process real-time biometric data and detect inconsistencies indicative of spoofing, including multimodal approaches such as facial recognition, fingerprint scanning, and iris recognition.
  • Conduct rigorous testing of liveness detection systems for real-world performance and validate models against various spoofing techniques to ensure robustness.
  • Deploy liveness detection systems into production environments, ensuring scalability and high performance, and continuously monitor system outputs for accuracy or efficiency issues.

About the Company

LexisNexis Risk Solutions

Data-driven risk assessment & analytics solutions

LexisNexis Risk Solutions provides data, analytics, and decision tools to help organizations assess and manage risk across many industries. Its offerings combine large data sets with advanced analytics to support better decisions, improve operations, and protect consumers. By covering sectors like financial services, government, healthcare, insurance, retail, and public safety, the company helps customers evaluate likelihoods of risk, detect issues, and act more efficiently. The goal is to turn data into actionable insight that reduces risk, increases operational efficiency, and supports compliant, informed decision-making for its clients.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Alpharetta, GA
Founded
1997

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