AI Engineer (Voice Expertise)

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).

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

  .

Preferred Qualifications

• 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.

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.