Data Scientist - Conversational AI & NLP

Position: Remote (Only in United States)

Interview: F2F Conversational AI: Build and enhance complex virtual assistants, including conversation design, intent/entity modeling, error analysis, and production improvements. Deep NLP & LLM: Strong expertise in NLP, text classification, embeddings, LLM fundamentals, and Transformer architecture. Machine Learning: Hands-on experience with ML modeling, feature engineering, time-series forecasting, preprocessing, and model evaluation. Agentic AI: Experience with multi-agent architectures, evaluation frameworks, golden datasets, LLM-as-a-Judge, fine-tuning, and continuous improvement. ML/LLM Production: Knowledge of inference optimization, including KV caching, latency optimization, scalability, and deployment of AI models in production.