Industrial Data Scientist: LLM & RAG for Ops Intelligence

3Core Systems, Inc; Indiana; On-site; USD 120,000 - 180,000; Full time

Job summary

3Core Systems, Inc. is seeking a data scientist to design and deploy LLM-based RAG systems for utility and industrial data. You will develop pipelines, fine-tune models, and integrate vector stores to turn unstructured logs into actionable insights.

Collaborating with field operations and engineering, you will deploy models in Azure/AWS and optimize for reliability and scalability in harsh industrial environments.

Qualifications

• 3+ years in Data Science/Machine Learning with focus on LLMs or Generative AI.
• Strong Python experience (PyTorch/TensorFlow) and familiarity with LangChain/LlamaIndex.
• Experience applying AI in utility, energy, or heavy-industrial sectors.
• Hands-on RAG expertise: embeddings, semantic search, and prompt engineering.

Responsibilities

• Develop RAG pipelines to improve LLM-driven troubleshooting and field ops.
• Fine-tune and evaluate LLMs for task-specific reasoning and accuracy.
• Build/optimize code to integrate vector databases for fast storage and retrieval of technical docs.
• Apply LLMs to analyze unstructured utility data like logs and maintenance records.
• Collaborate with field ops, engineering, and stakeholders to define data needs and deliver solutions.
• Deploy and scale models in Azure/AWS environments.

Skills

Data science

Machine learning

Generative AI

LLMs

Tools

Python

PyTorch

TensorFlow

LangChain

LlamaIndex

SQL

Pinecone

Milvus

Weaviate

Job description

3Core Systems, Inc. is seeking a data scientist to design and deploy LLM-based RAG systems for utility and industrial data. You will develop pipelines, fine-tune models, and integrate vector stores to turn unstructured logs into actionable insights.

Collaborating with field operations and engineering, you will deploy models in Azure/AWS and optimize for reliability and scalability in harsh industrial environments.