Conversational AI Infrastructure Specialist
6 days ago
The Conversational AI Infrastructure Specialist is a critical role focused on bridging the gap between LA-driven conversational solutions and the underlying communications infrastructure. This role involves designing, developing, and deploying systems that integrate advanced AI technologies, such as natural language processing (NLP), speech recognition, and large language models (LLMs), with infrastructure components like IVR/URA, VoIP, and networking systems.
This role requires a solid background in AI applications and practical experience with contact center technologies to ensure seamless and innovative communication solutions powered by AI.
Responsibilities:
- Design, develop, and implement LA-driven conversational systems that integrate with IVR/URA, VoIP, and network infrastructures.
- Collaborate with cross-functional teams to align LA solutions with existing communications systems, ensuring robust and scalable deployments.
- Develop and optimize speech recognition, text-to-speech (TTS) and PLN/NLP for use in conversational LA applications.
- Work with Python and deep learning frameworks (e.g., PyTorch, TensorFlow) to build and deploy conversational LA models.
- Integrate chatbots, voice assistants, and other conversational AI technologies into contact center platforms.
- Troubleshoot and optimize LA systems to ensure high performance and reliability in communications infrastructure.
Estimated Salary:$140,000 - $180,000 per year,
dependent on location and qualifications.
We are committed to providing competitive compensation packages that reflect our company's values and the market rate for this position.
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