Data Scientist and AI Specialist

NexOne, Inc.

Clearfield (UT)

On-site

USD 120,000 - 170,000

Full time

3 days ago
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Job summary

NexOne, Inc. seeks a Data Scientist/AI Specialist to architect and deploy cutting-edge AI solutions. You will integrate LLMs via APIs, build vector search pipelines, and develop GraphRAG workflows to transform unstructured data into context-aware applications.

The role emphasizes Python scripting, production-ready pipelines, and collaboration with software engineers and product managers to deliver scalable cloud deployments. 3+ years in data science/ML and US citizenship are required.

Qualifications

  • 3+ years of professional experience in Data Science, ML, or AI with NLP focus.
  • Proficient in Python and modern ML libraries.
  • BS in a technical field.
  • U.S. citizenship required.

Responsibilities

  • Architect, build, and deploy AI solutions powered by LLMs and vector databases.
  • Design and develop Knowledge Graphs and GraphRAG approaches.
  • Develop Python data pipelines for data ingestion, embedding, and model evaluation.
  • Collaborate with Software/Data Engineers and Product Managers to deploy models in cloud environments.

Skills

Python
NLP
Generative AI
LLMs

Education

BS degree in technical field

Tools

LangChain
LlamaIndex
Pinecone
Milvus
Qdrant
Weaviate
pgvector

Job description

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
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