Data Scientist and AI Specialist
NexOne, Inc. · Clearfield, Utah, United States
IT Services and IT Consulting · 201-500 employees
About the role
The role involves architecting and deploying AI solutions using LLMs, vector databases, and knowledge graphs to drive business impact. You will also write production-ready Python code to automate data pipelines and collaborate with cross-functional teams for model deployment.
What they look for
Requirements
Candidates must have at least 3 years of professional experience in Data Science, Machine Learning, or AI with a focus on NLP. A bachelor's degree in a technical domain and advanced proficiency in Python scripting are required.
Full 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
