12+ years of experience in Speech Technologies, Voice Assistants, or Conversational AI solutions.
Strong expertise in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Text-to-Speech (TTS), and Voice Assistant technologies.
Deep understanding of speech processing pipelines, wake-word detection, intent recognition, dialogue management, and voice command execution.
Hands-on experience with Python, C++, Java, or Embedded Software development platforms.
Experience working with Linux, Android Automotive OS (AAOS), QNX, and embedded platforms.
Expertise in speech performance evaluation, KPI measurement, and quality optimization.
Experience with automotive voice platforms such as Cerence, Amazon Alexa Auto, Google Assistant, SoundHound, Nuance, or proprietary OEM voice assistants.
Knowledge of Generative AI, Conversational AI, and Large Language Model (LLM)-based voice assistant technologies.
Strong understanding of Infotainment, Digital Cockpit, Connected Vehicle, Navigation, Telematics, and IVI systems.
Experience integrating voice solutions with vehicle functions including navigation, media, climate control, telephony, and vehicle settings.
Familiarity with multi-language and multi-region voice assistant deployments.
Experience with DevOps, CI/CD pipelines, and Agile development methodologies.
Strong customer-facing communication, stakeholder management, and presentation skills.
Ability to lead technical discussions, workshops, architecture reviews, and solution assessments.