ML Engineer - Automatic Speech Recognition

Job Role : ML Research Engineer - ASR (Automatic Speech Recognition)

Experience : 2+ years of experience

Location : Chennai, Tamil Nadu

About the Company :

Kaizen being a reputed company is involved in the business of Kaizen Secure Voiz Private Limited is Six-year young company specializing in unified voice interactions management using latest technologies with Global presence for Supply, implementation, testing and commissioning of voice biometrics solution.

KSV has good experience in design, development and implementation of such voice biometrics- based technologies and has enabled multi-channel applications such as mobile applications, voice bots, interactive voice response and call center-based services to target group. KSV has proposed options to customers, keeping the world trend on latest technologies.

KSV has deployed similar solutions for various companies and understands domain very well. While KSV has proposed voice biometrics-based Interactions management platform is suitable for further scaling and improvements of customer experience using voice analytics solutions later. The introduction of such automation will not only save huge money for the company, but also exponentially increase the customer experience.

Responsibilities :

• Develop and implement Voice Biometric algorithms and models.
• Evaluate and analyze the performance of Voice Biometric systems.
• Implement advanced security measures to protect biometric data and ensure compliance with privacy regulations.
• Optimize the performance of biometric systems to ensure fast and accurate identification and authentication.
• Fine-tune algorithms and parameters to improve system efficiency and reliability.
• Collaborate with cross-functional teams to integrate Voice Biometric solutions into various applications and systems.
• Stay updated with the latest advancements in Voice Biometric technology and contribute to research activities.
• Impeccable analytical and problem-solving skills
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms
• In-depth knowledge of machine learning frameworks, like Keras, PyTorch, etc
• Familiarity with data structures, data modelling, and software architecture
• Excellent time management and organizational skills

Requirements :