NLP Engineer _ Machine Learning Engineer|5+ years| Remote | Flexgen

NLP Engineer _ Machine Learning Engineer|5+ years| Remote | Flexgen Flexgen.← All Jobs NLP Engineer _ Machine Learning Engineer|5+ years| Remote Posted Jul 25, 2026 - Job description: - NLP Engineer / Machine Learning Engineer Document Understanding & Knowledge Graphs - Overview Were looking for a hands-on NLP/ML engineer to lead the development of an intelligent document understanding pipeline for extracting structured data from complex, unstructured RFQ documents (40100+ pages, in German and English). - You will be responsible for building scalable systems that combine document parsing, layout analysis, entity extraction, and knowledge graph construction ultimately feeding downstream (e.g. Analytics and LLM applications.) - Key Responsibilities - - - - - - - Design and implement document hierarchy and section segmentation pipelines using layout-aware models (e.g., DocLayout-YOLO, LayoutLM, Donut). - Build multilingual entity recognition and relation extraction systems across both English and German texts. - Use tools like NLTK, transformers, and spaCy to develop custom tokenization, parsing, and information extraction logic. - Construct and maintain knowledge graphs representing semantic relationships between extracted elements using graph data structures and graph databases (e.g. Neo4j) Integrate outputs into structured LLM-friendly formats (e.g., JSON, Mark Down) for downstream extraction of building material elements. - Collaborate with product and domain experts to align on information schema, ontology, and validation methods. What Were Looking For - - - - - Strong experience in NLP, document understanding, and information extraction from unstructured/multilingual documents. - Proficiency in Python, with experience using libraries such as transformers, spaCy, and NLTK. Hands-on experience with layout-aware models like DocLayout-YOLO, LayoutLM, Donut, or similar. - Familiarity with knowledge graphs and graph databases such as Neo4j, RDF Apply for This Jo