AI Engineer (Voice Expertise) at Zone IT Solutions | Torre
AI Engineer (Voice Expertise)
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Zone IT Solutions

AI Engineer (Voice Expertise)

Zone IT Solutions
Emma
Emma
You'll transform enterprise interactions by developing cutting-edge generative voice AI solutions.
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Full-time

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Emma of Torre.ai
 about 2 months ago

Requirements and responsibilities

About the RoleWe 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 ResponsibilitiesDevelop 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).RequirementsSkills & Experience RequiredProven 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.Preferred QualificationsExperience 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.Why Join Us?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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