Due to federal client, only US Citizens are eligible Remote Voice Biometrics Engineer 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 Skills: • Biometrics • Customer Problem Solving