Job Description Senior Lead AI-NLP Engineer Day to Day job Duties: Design, develop, 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. 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.

- Design, develop, 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.
- 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.
- Skills required:
- - Overall 7+ years of experience.
- Expert proficiency in Python, including Object-Oriented Programming and writing clean, testable code.
- 3+ Years of Solid hands-on experience with BiLSTM, TF-IDF classifiers, and word embeddings (Word2Vec, GloVe).
- 2+ Years on NLP models.
- 2+ Years of experience in Generative AI.
- 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.

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