Remote Data Scientist - AI/ML & LLM Solutions

Great Gray Group.

Northern (KY)

Hybrid

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Medical/Dental/ Vision
401(k)
Remote-friendly

Job summary

Great Gray Group is seeking a Data Scientist to join our Data Science & AI Team. The role focuses on building and deploying AI/ML solutions using Python, pandas, NumPy, scikit-learn, and FastAPI.

You will work in an agile environment, drive model development, and contribute to production-ready data pipelines. Responsibilities include designing LLM-powered applications, RAG pipelines, and agentic AI systems, plus exploring Azure AI Foundry and AWS Bedrock integrations to stay at the cutting edge.

Qualifications

  • Proficiency in Python and core data science stack: pandas, NumPy, scikit-learn, FastAPI.
  • Strong proficiency in SQL and cloud data querying (Azure, AWS).
  • Experience building/deploying ML models and APIs, including model serving/monitoring.

Responsibilities

  • Build, train, and deploy ML models and data pipelines using Python and common libraries.
  • Design, implement, and improve LLM-powered apps and RAG pipelines.
  • Develop agentic AI systems for automation of complex workflows.
  • Perform EDA to uncover trends and inform decisions.
  • Create data visualizations and dashboards for technical and non-technical stakeholders.
  • Diagnose and resolve data/model issues to improve drift and efficiency.
  • Ensure code quality, experiment tracking, and reproducibility.

Skills

Python
pandas
NumPy
scikit-learn
FastAPI
SQL
Azure
AWS
LLM
AI platforms

Tools

Cursor
Claude
Azure AI Foundry
AWS Bedrock

Job description

Great Gray Group is seeking a Data Scientist to join our Data Science & AI Team. The role focuses on building and deploying AI/ML solutions using Python, pandas, NumPy, scikit-learn, and FastAPI.

You will work in an agile environment, drive model development, and contribute to production-ready data pipelines. Responsibilities include designing LLM-powered applications, RAG pipelines, and agentic AI systems, plus exploring Azure AI Foundry and AWS Bedrock integrations to stay at the cutting edge.

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