, credit underwriting, governance tracking, Banker 360, Customer 360, pitch book generation, deal intelligence, financial crime... engineering, Retrieval-Augmented Generation (RAG), embeddings, vector search, fine-tuning, instruction tuning, model distillation...
and vector databases to enable semantic search and contextual reasoning Optimize document ingestion, chunking, indexing... and vector databases (e.g., Pinecone, FAISS, Azure AI Search) RAG architectures and pipelines Prompt engineering...
, recreational and drinking water quality, air quality, climate health, vector control, veterinary public health and pest control... assessment. o additional health, fitness, and financial benefits may be available based on the position's associated union...
to internal tools Experience with vector databases and embedding-based search for RAG applications Experience with financial... of data engineering or software engineering experience, ideally with large-scale financial or transactional data Strong SQL...
Bedrock Hands-on experience with FastAPI, REST APIs, and Microservices Experience with Vector Databases (Pinecone, Weaviate..., MLOps, financial data, and enterprise-scale GenAI applications....
workflows, vector search, prompt management, and data ingestion pipelines Deep understanding of LLMOps practices including... for financial services or similarly regulated industries...
to AI, Machine Learning, and Generative AI initiatives within the Banking or Financial Services domain. The candidate will work... understanding of AI concepts including LLMs, Prompt Engineering, RAG, AI Agents, NLP, and Vector Databases. Experience gathering...
) and containerized deployments. Python programming (NumPy, Pandas, Boto3) for automation, tooling, and platform services. Vector... reporting. Knowledge of financial markets and enterprise data systems....
frameworks, Retrieval-Augmented Generation (RAG), vector databases, embeddings, and full-stack application development. Key..., Gemini, or similar models. Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings...
and optimize semantic retrieval pipelines, vector search implementations, and contextual grounding frameworks. . Develop ingestion... requirements. . Design and optimize hybrid search architectures combining vector search, keyword search, and knowledge graph...