Positive to Have
- Experience building AI Voice Bots
- Hybrid ML + LLM architectures
- Conversation Flow Design
- Speech-to-Text (STT) and Text-to-Speech (TTS) integrations
- Production deployment of ML models
5 LPA to 15 LPA Job Summary
We are looking for a Machine Learning Engineer with experience in NLP and Conversational AI to build intelligent AI Voice Agents and Chatbot solutions. The candidate will be responsible for designing, training, evaluating, and deploying intent classification models, entity recognition systems, and hybrid AI pipelines combining Machine Learning with Large Language Models (LLMs).
Key Responsibilities
- Design and develop NLP models for Intent Classification and Entity Recognition.
- Prepare, clean, and label conversational datasets.
- Train, fine-tune,
and evaluate machine learning models for conversational AI.
- Build hybrid AI systems using ML-based intent detection with LLM fallback.
- Develop conversation routing logic based on confidence scores.
- Optimize model accuracy, latency, and inference performance.
- Integrate ML models with Python backend services and REST APIs.
- Design conversation flows for AI Voice Bots and Chatbots.
- Work with Prompt Engineering for LLM fallback responses.
- Build and maintain RAG (Retrieval-Augmented Generation) pipelines.
- Monitor model performance and retrain models when required.
- Collaborate with Backend, Frontend, and Product teams.
BE/B.Tech/BCA/MCA/Any
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Disclaimer: The job location mentioned in this description is based on publicly available information or company headquarters. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.