ML Pipeline Engineer – LLM-Augmented Systems for Investment Research
3 days ago

We are seeking an experienced ML Pipeline Engineer to design and scale LLM-powered pipelines that streamline investment research.
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Responsibilities
- Architect end-to-end LLM pipelines for ingestion, intelligent chunking, RAG retrieval, structured extraction, multi-label classification, and summarization.
- Implement RAG over financial document corpora using vector databases (Pinecone Weaviate Chroma) to ensure precision and reduce hallucinations.
Skills
- Data Analysis Data Science Python Machine Learning Artificial Intelligence
Job description
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