3 of 3 Permanent Pinecone Jobs in the City of London

dialogue management, prompt engineering, and Retrieval-Augmented Generation (RAG). Data Analytics: Familiarity with real-time data streaming (e.g., Kafka) and vector databases (e.g., Pinecone, Milvus, Qdrant). Quantization: Experience with model compression techniques like quantization (INT8/FP4), pruning, and distillation for edge deployment. #J-18808-Ljbffr ...

working with AI tools and prompting. An understanding of point in time data is a strong plus Also desirable: experience with vector databases (pgvector, Pinecone, Weaviate, Qdrant or similar); machine learning experience (PyTorch, TensorFlow, XGBoost/LightGBM) for building, maintaining and extending existing models; Bloomberg API integration to Python; data ...

essential) Practical experience with AI development concepts such as prompt engineering, AI agent development, RAG, and vector databases/semantic search (e.g., Pinecone, Azure AI Search, Chroma) Familiarity with Microsoft Azure services Please note that there is an in-office requirement of 3 days a week in their City ...