Job Description
We are looking for a highly skilled Machine Learning Engineer with strong experience in Generative AI and Retrieval‑Augmented Generation (RAG). The ideal candidate has hands‑on expertise building production‑grade GenAI systems, including vector search, document processing, embedding pipelines, and evaluation frameworks. Experience with Graph RAG approaches is highly preferred. Java experience is a strong plus.
You will work across data engineering, ML engineering, and platform teams to design scalable, secure, and high‑quality AI capabilities that power critical business use cases.
You will work across data engineering, ML engineering, and platform teams to design scalable, secure, and high‑quality AI capabilities that power critical business use cases.
Responsibilities
Architect, build, and deploy RAG pipelines, including chunking, embeddings, vector stores, retrieval, ranking, grounding, and evaluation.
Design and implement Graph RAG solutions leveraging knowledge graphs for multi‑hop reasoning and structured retrieval.
Build robust, scalable ML/LLM services using Python (and ...