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NexOne, Inc.

Data Scientist and AI Specialist

NexOne, Inc.

Location
Onsite (Clearfield, UT)
Employment
Full-time
Level
Mid Level
Posted 1 week ago

About the Role

NexOne, Inc. is seeking a Data Scientist and AI Specialist to architect and deploy cutting-edge AI solutions using LLMs, vector databases, and knowledge graphs. The role focuses on bridging raw unstructured data with intelligent applications to drive business impact.

Skills

Data Science Artificial Intelligence Large Language Models Python Vector Databases Knowledge Graphs LangChain LlamaIndex Pinecone Milvus Qdrant Weaviate pgvector Retrieval-Augmented Generation Machine Learning NLP

Full job details

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