Machine Learning Engineer, Platform

Build core retrieval and knowledge representation systems for an enterprise Generative AI platform. Own ML components end to end—from research and prototyping to production deployment—across knowledge bases, vector stores, RAG pipelines, and context engines. Design RAG workflows (chunking, embeddings, indexing, retrieval, reranking), integrate retrieval with ML components and enterprise data sources, and develop evaluation frameworks and metrics to improve retrieval quality and agent performance.