Architect and deploy Retrieval-Augmented Generation (RAG) systems.
Build semantic search across data lakes, databases, and literature via APIs.
Develop NLP, translation, and multi-document summarization for science/tech gaps.
Create intelligent chatbots for role-based enterprise guidance.
Design NLP-driven ingestion and ETL/ELT pipelines for unified data Fabric.
Implement Explainable AI techniques for transparent model recommendations.

🎯 Requirements

Bachelor’s or Master’s in CS, Data Science, AI, or related field.
5+ years engineering production AI/ML systems (3+ years with Master/PhD).
Hands-on NLP/LLMs: fine-tuning, embeddings, vector DBs (e.g., Pinecone, Milvus, Qdrant, FAISS).
Python, PyTorch, TensorFlow, LangChain, LlamaIndex; FastAPI/REST APIs.
Experience with SQL, NoSQL, graphs, data lakes; secure data handling.
Active U.S. Government Secret clearance (or higher); eligible for TS/SCI.

🎁 Benefits

Not specified in posting

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