Senior Software Engineer II

LexisNexis Risk Solutions
Australia
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: bachelorsSkills: ["Collaboration","Problem-solving","Communication","Teamwork","Analytical thinking"]

Senior software engineer focusing on building and deploying advanced biometric liveness detection systems using machine learning. You’ll design, train, and validate deep learning models to distinguish real from spoofed biometric data, collaborating with data scientists and software engineers to deploy scalable production solutions for identity verification at a global scale.

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LexisNexis Risk Solutions
LexisNexis Risk Solutions
7 months ago

Senior Software Engineer II

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 days agoStatus: Live

Job Summary

Senior software engineer focusing on building and deploying advanced biometric liveness detection systems using machine learning. You’ll design, train, and validate deep learning models to distinguish real from spoofed biometric data, collaborating with data scientists and software engineers to deploy scalable production solutions for identity verification at a global scale.
Location: Australia
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Liveness Detection System Design: Develop and design liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data, including analyzing facial features, eye movements, and other physiological indicators.
  • •Deep Learning Model Development: Build and optimize deep learning models specifically for liveness detection, selecting algorithms, conducting experiments, and tuning hyperparameters for accuracy.
  • •Feature Engineering: Identify and extract features from biometric data crucial for detecting spoofing, including texture analysis, motion-based detection, and 3D depth analysis.
  • •Data Collection and Preprocessing: Collaborate with data scientists to collect, clean, and preprocess large datasets for training liveness detection models, ensuring data integrity.
  • •Algorithm Implementation: Implement machine learning algorithms capable of processing real-time biometric data to detect spoofing, integrating multimodal approaches such as facial recognition, fingerprint, and iris recognition.

Pay and Benefits

Perks:Health InsuranceOptical AssistanceLife AssuranceIncome ProtectionFlexible Working

Key Requirements

  • •Machine learning expertise with frameworks such as TensorFlow, Keras or PyTorch.
  • •Proficiency in programming languages such as Python, Java, or R for model development and algorithm implementation.
  • •Strong analytical and statistical abilities with data analysis skills.
  • •Ability to collaborate effectively with cross-functional teams (data scientists, software engineers, product managers).
  • •Experience in anti-spoofing or biometric security systems.
Experience:Biometric securityIdentity verificationMachine learningAuthentication
Education:Bachelor's
Skills:CollaborationProblem-solvingCommunicationTeamworkAnalytical thinking
Tech Stack:TensorFlowKerasPyTorchPythonJavaR

Company Brief

LexisNexis Risk Solutions
Provides data, analytics, and technology solutions to help businesses manage risk, detect fraud, comply with regulations, and make decisions across insurance, financial services, government, and commercial sectors.
Industry: RegTech
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Public Company
Headquarters: Alpharetta, United States
WebsiteLinkedIn