Offer summary

Qualifications:

Bachelor's Degree in Computer Science, Engineering, Math, or related field, or 7 years of 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, deep learning, and AI techniques..

Key responsibilities:

Design, develop, and maintain voice biometric systems for identity verification.

Analyze voice data to improve system accuracy and performance.

Integrate voice biometrics solutions into existing infrastructure like call centers or security systems.

Test and validate voice biometrics systems to ensure reliability.

Job description

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

Required profile