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Consulting/Principal Software Engineer

LexisNexis Risk Solutions provides data analytics and decisioning tools across multiple industries, serving customers in over 180 countries.
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS · Cybersecurity

Job Description

LexisNexis Risk Solutions is seeking a Consulting/Principal Software Engineer to join their IDVerse team, focusing on developing cutting-edge anti-spoofing and liveness detection systems. This role sits at the intersection of biometric security and artificial intelligence, where you'll be responsible for building sophisticated systems to prevent fraudulent authentication attempts.

The position requires expertise in machine learning and deep learning, particularly in developing models for biometric verification. You'll be working with state-of-the-art technologies to create robust solutions that can differentiate between genuine human interactions and fraudulent attempts. The role involves everything from system design to implementation and production deployment.

As part of the IDVerse team, you'll be contributing to a world-leading digital identity verification technology platform that serves blue-chip customers across banking, telecommunications, and government sectors. The company has established its technology leadership in Australia and New Zealand and is now expanding globally.

The ideal candidate will bring strong technical expertise in machine learning frameworks, programming languages like Python and Java, and a deep understanding of biometric security standards. You'll need to combine technical excellence with collaborative skills, working effectively with cross-functional teams including data scientists, software engineers, and product managers.

This is an excellent opportunity for a senior technical professional who wants to work on challenging problems in identity verification and security, using cutting-edge AI technology to create solutions that have real-world impact. The role offers the chance to be part of a growing global company with over 11,100 employees serving customers in more than 180 countries.

Last updated 19 hours ago

Responsibilities For Consulting/Principal Software Engineer

  • Develop and design liveness detection systems using AI algorithms
  • Build and optimize deep learning models for liveness detection
  • Identify and extract features from biometric data
  • Collaborate with data scientists on data collection and preprocessing
  • Implement machine learning algorithms for real-time biometric data processing
  • Conduct system testing and validation
  • Deploy and maintain liveness detection systems in production

Requirements For Consulting/Principal Software Engineer

Python
Java
  • In-depth understanding of machine learning frameworks (TensorFlow, Keras, PyTorch)
  • Proficiency in Python, Java, or R
  • Strong problem-solving abilities with statistics and data analysis knowledge
  • Experience in anti-spoofing or biometric security systems
  • Bachelor's degree in Computer Science, Mathematics, or related field
  • Knowledge of anti-spoofing standards (NIST ISO/IEC 30107 or FIDO)
  • Strong collaboration skills

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