Data Scientist and AI Specialist
# Data Scientist and AI Specialist **NexOne, Inc.** · Clearfield, UT 84015 · `On-site` 🕒 **Статус:** *Опубликовано: 3 дня назад* · *Источник: Indeed* --- ### About the Role About the Role We are seeking an innovative and driven Data Scientist / AI Specialist to join our advanced technology team. In this role, you will architect, build, and deploy cutting-edge AI solutions powered by Large Language Models (LLMs), Vector Databases, and Knowledge Graphs. You will play a pivotal role in bridging the gap between raw unstructured data and intelligent, context-aware applications that drive business impact. Key Responsibilities LLM Integration & Fine-Tuning: Design, implement, and optimize applications utilizing Large Language Models (LLMs) via APIs and open-source frameworks (e.g., LangChain, LlamaIndex). Vector Database Architecture: Architect, manage, and scale vector search infrastructure (e.g., Pinecone, Milvus, Qdrant, Weaviate, pgvector) for high-performance semantic search and retrieval-augmented generation (RAG) pipelines. Knowledge Graph Development: Design and construct Knowledge Graphs to structure complex domain data, integrating them with LLMs and vector search to improve reasoning and context retrieval (GraphRAG). Python Scripting & Pipeline Automation: Write robust, production-ready Python code to automate data ingestion, preprocessing, embedding generation, and model evaluation. Collaboration & Deployment: Work closely with cross-functional teams (Software Engineers, Data Engineers, and Product Managers) to deploy AI models into scalable cloud production environments. Required Qualifications Experience: 3+ years of professional experience in Data Science, Machine Learning, or Artificial Intelligence, with a strong focus on NLP and generative AI. Programming: Advanced proficiency in Python scripting and modern ML libraries Education: BS in Technical Domain Citizenship: Must be a US citizen Bonus Skills C# .net core JavaScript/React MS SQL server Docker
Наблюдалась 2026-09-21, впервые 2026-09-18, источник — Indeed.