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Biometrics AI Trainer

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About the job

Job Title: Biometrics AI Trainer

Location: Remote

Job Summary

Join our customer’s team as a Biometrics AI Trainer and leverage your expertise in biometric technology to advance secure identity verification solutions. You will play a pivotal role in designing, implementing, and optimizing cutting-edge facial recognition systems, working closely with cross-functional teams to ensure accuracy and reliability.

Key Responsibilities

  • Develop, deploy, and maintain state-of-the-art facial recognition algorithms and biometric matching systems.
  • Analyze biometric data to enhance system performance, reduce false positives/negatives, and drive continuous improvement.
  • Implement robust identity verification processes while upholding high standards of data privacy and security.
  • Collaborate with engineers, product managers, and stakeholders to integrate biometric solutions into existing platforms.
  • Monitor industry trends and recommend innovative approaches to facial recognition technology.
  • Provide technical support, troubleshooting, and documentation for biometric systems.
  • Communicate findings and project updates clearly through both written and verbal channels.

Required Skills and Qualifications

  • Proven experience in facial recognition, biometric matching, and identity verification.
  • Strong understanding of biometric data collection, processing, and analysis.
  • Proficiency with facial recognition software, machine learning models, and related frameworks.
  • Solid programming skills in languages such as Python, C++, or Java.
  • Demonstrated ability to ensure data security, compliance, and privacy.
  • Exceptional written and verbal communication skills, able to articulate complex concepts clearly.
  • Ability to work independently in a remote, fast-paced environment while collaborating effectively with the customer’s team.

Preferred Qualifications

  • Experience with multimodal biometrics and advanced liveness detection techniques.
  • Background in deploying facial recognition systems at scale.
  • Familiarity with industry regulations and best practices in biometric data management.

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