Description

Key Skills: Speech Recognition, Natural Language Understanding, Conversational AI, GRXML, Intent Classification, Entity Extraction, Speech Grammars, NLU Development, Dialogue Optimization, Machine Learning

Good to Have Skills: Experience with ABNF grammar formats, telephony environment optimization, acoustic model tuning, DTMF fallback mechanisms, multilingual language detection, dialect handling, code-switching processing, sentiment analysis, A/B testing for conversational flows, and speech AI platform evaluation.

Roles & Responsibilities:

• Design and develop speech grammars for over 80 customer intents across 5 different languages.
• Optimize speech recognition systems for telephony environments with 8kHz audio and noisy conditions.
• Achieve and maintain 95% or higher transcription accuracy for speech recognition systems.
• Build and train intent classification models covering 50+ intents across multiple languages.
• Develop entity extraction models for accounts, amounts, dates, names, and transactions.
• Implement context handling mechanisms for multi-turn conversational interactions and dialogue management.
• Design natural and intuitive conversational flows collaborating with VUI designers for enhanced user experience.
• Monitor call quality, latency, and failure scenarios to ensure optimal system performance.
• Generate training datasets from failed interactions to continuously improve model accuracy.
• Collaborate with AI engineers, contact center teams, backend developers, and product stakeholders.

Experience Required: Senior level experience in conversational AI, speech recognition, and natural language understanding systems with expertise in handling multilingual conversational platforms managing over 10 million annual interactions

Key Skills

Education

Any Graduate