Data Scientist and AI Specialist

NexOne, Inc.; Clearfield (UT); On-site; USD 90,000 - 150,000; Full time

Job summary

NexOne, Inc. in Utah seeks an innovative Data Scientist / AI Specialist to architect, build, and deploy AI solutions powered by LLMs, vector databases, and knowledge graphs.

You will work with cross-functional teams to productionize data pipelines, optimize retrieval-augmented generation, and deliver context-aware applications that drive business impact.

Qualifications

• 3+ years of professional experience in Data Science, Machine Learning, or Artificial Intelligence.
• Advanced proficiency in Python scripting and ML libraries.
• BS in a technical domain.

Responsibilities

• LLM Integration & Fine-Tuning: design, implement, and optimize applications using LLMs via APIs and frameworks.
• Vector Database Architecture: architect and scale vector search infrastructure for high-performance retrieval-augmented generation pipelines.
• Knowledge Graph Development: design and construct knowledge graphs to structure complex domain data.
• Python Scripting & Pipeline Automation: write production-ready Python code to automate data ingestion, embedding generation, and model evaluation.
• Collaboration & Deployment: work with cross-functional teams to deploy AI models into scalable cloud production environments.

Skills

Python

NLP

Generative AI

Education

BS in Technical Domain

Job description

About The Role

We are seeking an innovative and driven

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

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