Biometrics AI Trainer at micro1

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.