Data Scientist

Sidram Technologies

  • Ardmore Ave, Fort Wayne,, IN
  • 6 days ago

    Highlights

    Hiring #DataScientist #GenerativeAI #LLM #RAG #MachineLearning #ArtificialIntelligence #Python #SQL #LangChain #LlamaIndex #VectorDatabase #SemanticSearch #PromptEngineering #PyTorch #TensorFlow #Azure #AWS #UtilityIndustry #EnergySector #AEP #W2Only #USC #H4EAD #OnsiteJobs #FortWayneJobs #ITJobs #USITJobs . 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.

    Numbers & Facts

    LocationArdmore Ave, Fort Wayne,, IN

    Description

    Hiring: Data Scientist Mid Level

    Client: AEP
    Location: 7775 Ardmore Ave, Fort Wayne, IN
    Work Model: Onsite 5 Days a Week
    Experience: 14+ Years
    Employment Type: W2 Only
    Visa: USC / H4EAD

    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

    Submission Requirements

    14+ Years of Professional Experience

    W2 Only

    USC / H4EAD Candidates Only

    Updated Resume

    Current Location

    Work Authorization

    Contact Details

    LinkedIn Profile

    Interested candidates, please send resumes to:

    Rachael
    Email:

    rachael@sidramtech.com

    #Hiring #DataScientist #GenerativeAI #LLM #RAG #MachineLearning #ArtificialIntelligence #Python #SQL #LangChain #LlamaIndex #VectorDatabase #SemanticSearch #PromptEngineering #PyTorch #TensorFlow #Azure #AWS #UtilityIndustry #EnergySector #AEP #W2Only #USC #H4EAD #OnsiteJobs #FortWayneJobs #ITJobs #USITJobs

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