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The Senior Lead AI-NLP Engineer will be responsible for designing and deploying advanced NLP models and conversational systems. This role requires a minimum of 7 years of experience, with a strong focus on Python and NLP technologies. The ideal candidate will lead the development of innovative AI solutions, mentor junior engineers, and establish evaluation frameworks to ensure model quality. This position offers a hybrid work model and the opportunity to work with cutting-edge technologies in a dynamic environment.
Job Responsibility:
Design, build, and deploy NLP models for intent classification, NER, and sentiment analysis using both traditional methods (BiLSTM, TF-IDF) and modern frameworks
Implement and optimize Large Language Models (LLMs) and Generative AI to improve dialogue management and agent capability
Lead the development and optimization of conversational systems using Rasa NLU
Drive end-to-end development from POC to production-ready systems, including deploying models via API
Lead design reviews, define technical standards, and mentor junior engineers
Establish evaluation frameworks to measure model quality, accuracy, and safety
Requirements:
Minimum of 7 years of experience
5+ Years of experience in Python, including Object-Oriented Programming and writing clean, testable code
3+ Years of hands-on experience with BiLSTM, TF-IDF classifiers, and word embeddings (Word2Vec, GloVe)
2+ Years of experience working in Rasa NLU and Rasa Core
Experience with Hugging Face Transformers, LangChain, or LLM-based RAG (Retrieval-Augmented Generation)
Strong experience in ML Frameworks: PyTorch or TensorFlow
Experience in Cloud & DevOps: Docker, AWS/GCP, and CI/CD Pipeline