About this role
Data Scientist, AI Data Foundations at MeridianLink. Location: United States. Role: Build vector stores, Own feature store, Design graph data Requirements: 4–7 years in data science/ML, hands-on with vector stores, feature stores, and graph data; Python/SQL expertise; experience with embedding models and MLOps. Category: Data and Analytics Seniority: Mid Level Tools: Python, pandas, NumPy, scikit-learn, PySpark, SQL, Databricks, Databricks Vector Search, Databricks Feature Store, MLflow, Neo4j, TigerGraph, Azure Cosmos DB, Gremlin, Hugging Face transformers, OpenAI, Azure OpenAI, LangChain, pgvector, Pinecone, Weaviate, Chroma, FAISS, Azure Databricks, Delta Lake, Unity Catalog, MLflow, Azure OpenAI, Azure AI Search, ADLS Gen2, Git, Notebook Commitment: Full Time Workplace: Remote Languages: English