Voice Biometrics Engineer (NO C2C, NO H1)

We are seeking a skilled Voice Biometrics Engineer to join our team. This role involves designing, implementing, and maintaining voice biometric solutions for secure customer authentication. The ideal candidate will have a strong understanding of voice biometrics technology, experience with biometric systems, and excellent problem-solving skills. Responsibilities include enrolling customers, managing voiceprint databases, and verifying user identities using voice biometrics.

Key Responsibilities:

• Collecting voice samples from users to create and store their unique voiceprint or voice profile
• Design, build, and maintain systems that analyze and verify identities based on voiceprints
• Maintaining and updating voiceprints in a database for future authentication
• Analyze voice data, identify patterns, and develop strategies to improve system accuracy and performance
• Using voice biometrics technology to verify a user's identity, comparing their voice to a stored profile
• Create and refine algorithms for voice biometrics, including techniques for voice matching, speaker verification, and anti-spoofing
• Integrate voice biometrics systems into existing infrastructure, such as call centers, banking systems, or security systems
• Conduct thorough testing and validation of voice biometrics systems to ensure accuracy and reliability
• Managing and maintaining biometric systems, including software and hardware
• Diagnosing and resolving issues related to voice biometrics systems
• Maintain detailed documentation of voice biometrics systems, including algorithm descriptions, system architecture, and performance data
• Working with various departments and external vendors to implement and support voice biometrics solutions

Required Qualifications:

• Bachelor s Degree in Computer Science, Engineering, Math, or equivalent (degree requirement may be substituted with 7 years of additional relevant experience)
• Deep understanding of voice biometrics principles, technologies, and applications.
• Proficiency in programming languages such as Python, Java, or C++
• Familiarity with machine learning algorithms, deep learning models, and AI techniques
• Strong ability to analyze data, interpret results, and draw conclusions
• Knowledge of audio signal processing techniques, including feature extraction and voice analysis
• Understanding of different biometric authentication methods and their limitations
• Ability to identify and solve complex problems related to voice biometrics