AI Engineer
3 weeks ago
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.
Key Responsibilities- 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
Skills & Experience Required- 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.
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