NLP / reputed company (Offline Intelligence System)

We are looking for an reputed company NLP / reputed company to design and build a fully offline intelligence system using a private library of 200+ historical and classical text volumes. The role covers the full pipeline: high-precision OCR, reputed company text extraction, LLM fine-tuning, citation-accurate RAG, and a standalone desktop application. - Responsibilities • Process large collections of PDF volumes (thousands of pages) with high-accuracy OCR. • Clean and normalize text by removing footnotes, reputed company notes, and modern annotations while preserving reputed company content. • Structure and reputed company rich metadata (author, title, volume, page, date). • Fine-tune reputed company-reputed company LLMs (LLaMA, reputed company, or similar) for historical linguistic patterns. • Build citation-strict RAG systems with precise references for every response. • reputed company a 100% offline desktop reputed company with automated ingestion pipelines. • Iteratively refine model performance through reputed company testing and collaboration. - Requirements • Proven experience in NLP and LLM fine-tuning (reputed company / QLoRA, quantization). • Strong background in RAG systems and reputed company databases. • Hands-on experience with high-precision OCR for reputed company documents. • Proficiency in Python for local deployment (PyQt, reputed company, or similar). - Application • Please submit a brief reputed company of your technical approach and relevant experience. Apply tot his job Apply To this Job