Senior/Lead Data Scientist -- NLP, Deep Learning, GenAI (10 Years)

Key Responsibilities

• Develop end‑to‑end NLP and GenAI solutions, including text classification, summarization, RAG systems, conversational AI, and document intelligence pipelines.
• Build, fine‑tune, and evaluate LLM-based models using transformer architectures (BERT, GPT, T5, LLaMA, etc.).
• Design and implement custom NLP workflows, embeddings, semantic search, vector databases, and prompt engineering strategies.
• Develop scalable advanced ML models leveraging deep learning, traditional ML, and hybrid architectures.
• Deploy models and AI apps using modern MLOps practices across cloud environments (Azure preferred).
• Collaborate closely with product, engineering, and business teams to translate

requirements

Required Skills

• 10+ years of experience in data science with deep hands‑on expertise in NLP and Generative AI.
• Proficient in transformer models, embeddings, and modern NLP libraries (Hugging Face, spaCy, NLTK).