We use technical cookies and Zorky's de-identified visit log. Yandex Metrica (data is stored on servers in Russia) runs only with your consent. We never sell data. More about cookies and statistics.
Zorky is in test mode — everything is free. Jobs and company pages are open to everyone; links to postings and your personal feed open after you sign up. Sign up →
← All jobs

Data Scientist

JuniorhybridWayne, US6d ago
Market insights
📊 AI / ML / Data Science: salaries and demand on the market
Stack
llmpineconepythonweaviate
Details
Employment
Contract
Experience
1+ year
Show company and link
Free, after you sign in.
Apply
Upload your CV — employers and recruiters from different countries looking for your profile can contact you directly.
Send your CV →
Description

Job Title: Data Scientist Location: Wayne, IN 46809 (Hybrid) Duration: 6-12 months contract Position Summary: · We are seeking a highly skilled and motivated Data Scientist with a strong background in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. · The ideal candidate has direct experience applying AI within the utility, energy, or industrial sector. · You will lead the design, development, and deployment of intelligent systems that translate unstructured operational data (technical manuals, maintenance logs, field reports) into actionable insights.

Key

Responsibilities
  • Develop RAG Pipelines: Design and optimize Retrieval-Augmented Generation (RAG) models to enhance LLM-driven troubleshooting and field operations. · AI Model Development: Fine-tune and evaluate LLMs (e.g., GPT-4, Llama 3) for task-specific reasoning and accuracy. · Knowledge Integration: Build high-quality Python code to integrate vector databases (e.g., Pinecone, Milvus, Weaviate) to store and retrieve technical utility documents efficiently. · Operational Intelligence: Apply LLM solutions to analyze unstructured utility data, such as asset management logs, SCADA alerts, and maintenance records. · Deployment: Work with software engineers to deploy and scale models in cloud environments (Azure/AWS). · Collaboration: Work cross-functionally with field operations, engineering teams, and stakeholders to understand data needs and deliver solutions. Required
Qualifications
  • Exp
Full description, company and the link to apply — after you sign in. Sign in
Employer contacts (email/phone/telegram) are hidden from the public preview. Send your CV so employers can reach you directly.
Report this job
Urgent question? Message @termdocs