Job 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: · Experience : Professional experience in Data Science/Machine Learning, with at least 1 year focusing specifically on LLMs and Generative AI. · Technical Skills : Advanced proficiency in Python (PyTorch/TensorFlow, LangChain, LlamaIndex) and SQL. · Domain Knowledge : Proven experience in the utility, energy, oil & gas, or heavy industrial sectors. · RAG Expertise : Hands-on experience with vector embeddings, semantic search, and prompt engineering.