6 of 6 Remote/Hybrid Contract Pinecone Jobs

Model Context Protocol (MCP). Knowledge of statistics, probability, and model evaluation techniques. experience with Retrieval-Augmented Generation (RAG) and vector databases like Pinecone or Weaviate. Proven track record of designing, developing, deploying, and managing AI/GenAI solutions in production. Additional Skills & Qualifications A broader understanding of machine learning ...

REST APIs, JSON, and async patterns. Desirable skills/knowledge/experience Experience with vector databases (Cosmos DB with vector search, Redis Enterprise, or Pinecone) and semantic ranking. Knowledge of Azure Machine Learning for training/evaluation pipelines and model registries. Familiarity with Power Platform (AI Builder, Power Automate ...

experience with LangChain, LangGraph, and Indexify , with a deep understanding of RAG architectures . Expert-level SQL and experience with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ML models at scale. Experience moving LLM-based prototypes into production environments with ...

experience with LangChain, LangGraph, and Indexify , with a deep understanding of RAG architectures . Expert-level SQL and experience with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ML models at scale. Experience moving LLM-based prototypes into production environments with ...

embeddings, document chunking strategies, indexing, semantic search, and citation/grounding techniques. Experience with vector databases (e.g., Azure Cosmos DB vector search, Redis Enterprise, Pinecone) and reranking strategies. Experience with Git and CI/CD (Azure DevOps or GitHub), unit/integration testing for LLM pipelines, and environment/config ...

retrieval systems with large language models. Build and maintain applications using LangChain to orchestrate complex AI workflows. Implement and manage vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus) for fast similarity search and retrieval. Develop embedding pipelines for unstructured data using models like Sentence Transformers, OpenAI, or Hugging Face. Collaborate with … Experience with large language models (GPT, BERT, etc.). Fine-tuning and prompt engineering. Experience with vector similarity search. Knowledge of popular vector DBs: Pinecone, Weaviate, FAISS, Vespa, Milvus. Generating and managing embeddings (using models like SentenceTransformers, OpenAI, Hugging Face). Familiarity with LangChain for building LLM-powered applications. Ability ...