LLM & RAG Data Scientist for Industrial AI

Sidram Technologies; Fort Wayne (IN); On-site; USD 90,000 - 150,000; Full time

Job summary

Sidram Technologies seeks a Data Scientist Mid Level to lead the design, development, and deployment of RAG-enabled solutions for unstructured utility data at our Fort Wayne site. The role emphasizes building scalable AI pipelines and collaborating with field operations and engineering teams.

The ideal candidate has 1+ year experience with LLMs, vector databases, and Python-based AI stacks, and will deploy solutions in Azure/AWS environments. Onsite work in Fort Wayne is required.

Qualifications

• Experience in Data Science/Machine Learning with at least 1 year focusing on LLMs and Generative AI.
• Strong Python (PyTorch/TensorFlow), LangChain, LlamaIndex and SQL skills.
• Domain knowledge in utility, energy, oil & gas, or heavy industrial sectors.
• Hands-on experience with vector embeddings, semantic search, and prompt engineering.

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.

Skills

LLMs

Generative AI

Data Science

Tools

Python

PyTorch

TensorFlow

LangChain

LlamaIndex

SQL

Job description

Sidram Technologies seeks a Data Scientist Mid Level to lead the design, development, and deployment of RAG-enabled solutions for unstructured utility data at our Fort Wayne site. The role emphasizes building scalable AI pipelines and collaborating with field operations and engineering teams.

The ideal candidate has 1+ year experience with LLMs, vector databases, and Python-based AI stacks, and will deploy solutions in Azure/AWS environments. Onsite work in Fort Wayne is required.