AI Engineer (Voice Expertise)

We are looking for an experienced AI Engineer with deep expertise in voice technologies to design, develop, and deploy next-generation voice-driven applications. This role involves working on speech recognition, voice synthesis, and conversational AI systems, integrating them into enterprise applications, and enhancing user interactions through natural, human-like communication.

• Develop and optimize speech recognition (ASR) and text-to-speech (TTS) systems.
• Design and integrate voice-enabled applications, chatbots, and virtual assistants.
• Implement NLP/NLU models for understanding intent and context in conversations.
• Integrate voice technologies with enterprise platforms (ERP, CRM, contact centers, mobile apps).
• Work with APIs (Google Speech, AWS Lex/Polly, Azure Cognitive Services) and open-source voice frameworks.
• Collaborate with cross-functional teams (AI, product, engineering, UX) to deliver scalable solutions.
• Ensure accuracy, latency optimization, and multilingual capabilities for voice applications.
• Stay ahead of emerging Generative AI for voice (voice cloning, emotion modeling, real-time synthesis).

Requirements

• Proven experience as an AI/ML Engineer with a focus on voice technologies.
• Strong knowledge of speech-to-text (STT), text-to-speech (TTS), NLP, and NLU.
• Hands-on experience with frameworks such as DeepSpeech, Kaldi, Whisper, Rasa, or Dialogflow.
• Proficiency in Python and familiarity with AI/ML libraries (TensorFlow, PyTorch).
• Experience with cloud-based AI services (AWS, GCP, Azure) for voice integration.
• Strong understanding of audio signal processing and real-time system optimization.
• Ability to design scalable architectures for voice-enabled enterprise solutions.

• Experience in multilingual voice AI systems.
• Knowledge of emotion detection, sentiment analysis, and personalization in voice AI.
• Exposure to contact center AI solutions (Genesys, Five9, Twilio Flex).
• Background in linguistics, HCI, or cognitive science is a plus.
• Bachelor’s or Master’s degree in Computer Science, AI, or a related field.

• Work on cutting-edge voice AI projects transforming enterprise interactions.
• Be part of an innovative team exploring generative voice and conversational AI.
• Competitive salary, growth opportunities, and the chance to shape the future of AI-driven communication.