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Qdrant Jobs in Utah (NOW HIRING)

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Experience with Vector Databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and RAG architectures. * Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Experience with Vector Databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and RAG architectures. * Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Experience with Vector Databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and RAG architectures. * Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

Experience with Vector Databases (e.g., pgvector, Pinecone, Weaviate, Qdrant) and RAG architectures. * Exposure to the healthcare domain, particularly understanding medical terminology, CPT/ICD codes ...

Qdrant information

What is the difference between Qdrant vs Data Scientist?

AspectQdrantData Scientist
Required CredentialsTechnical certifications, knowledge of vector databasesDegree in Data Science, Statistics, or related field
Work EnvironmentTech companies, startups, AI-focused firmsResearch labs, tech companies, consulting firms
Industry UsageAI, machine learning, data storageData analysis, predictive modeling, research

Qdrant primarily focuses on managing and deploying vector similarity search databases, requiring technical skills in database management and AI tools. Data Scientists analyze data, build models, and interpret results. While both roles operate within the tech and AI industry, Qdrant specialists are more technical and infrastructure-oriented, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Qdrant jobs in Utah?

For Qdrant jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Qdrant jobs?

Cities in Utah with the most Qdrant job openings:

Infographic showing various Qdrant job openings in Utah as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Data Scientist and AI Specialist

NexOne, Inc

Clearfield, UT • On-site

$110 - $160/hr

Other

Posted 13 days ago


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

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