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ACI InfoTech

ML and Search Engineer, RAG and Re-ranking

The ML and Search Engineer, RAG and Re-ranking will focus on designing and optimizing retrieval-augmented generation (RAG) pipelines, hybrid search strategies, and re-ranking models. This role requires expertise in information retrieval, vector databases, and ML frameworks to drive measurable improvements in ranking metrics, latency, and overall search quality. The engineer will collaborate with product and data teams to land production-grade improvements supported by rigorous offline and online experiments.

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