* Hands-on experience developing forecasting models for demand planning, inventory optimization, and supplier risk analysis. * Strong proficiency in data wrangling, feature selection, and normalization tailored to supply chain time-series and categorical datasets. * Applied understanding of deep learning architectures for sequence modeling and document understanding. Natural Language Processing (Supply Chain Focused): * Expertise in processing and structuring data from technical datasheets, EOL bulletins, engineering change notices, and supplier documents. * Skilled in NER and pattern extraction to identify part numbers (PIDs), BUs, countries, and compliance statuses in large-scale documentations. * Proficiency with libraries such as HuggingFace Transformers, OpenAI APIs, and Gemini, fine-tuning models for domain-specific semantic understanding. Generative AI, RAG & Agentic Systems (Mandatory): * Strong experience building RAG pipelines for operational use cases with experience in designing domain-specific prompt strategies for summarization, classification, and validation workflows in supply chain. Familiarity with LangChain, LlamaIndex, and conversational agents that support complex reasoning and conditional logic automation. Salary Range: $63,400-$100,000 a year #LI-CM2