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.
Skills Required
- Professional experience in Data Science or Machine Learning
- At least one year of experience focused on Large Language Models and Generative AI
- Advanced proficiency in Python
- Experience with PyTorch or TensorFlow
- Experience with LangChain and LlamaIndex
- Proficiency in SQL
- Experience in utility, energy, oil and gas, or heavy industrial sectors
- Hands-on experience with vector embeddings, semantic search, and prompt engineering
What We Do
Established in 2004, 3Core System is a certified small minority owned business providing ERP Systems Integration, AMS, IT Consulting and Staff Augmentation Services to Fortune 1000, SMB, and State, Local and Education (SLED) customers. While our System Integration services help organizations achieve digital and cloud transformation objectives, AMS Services help increase the availability of critical services of end user applications. On the other hand, our IT Consulting Services would provide subject matter experts to help you assist with specific project needs and the Staff Augmentation services help you balance workload and achieve budget parameters. >ERP System Integration Services: 3Core Systems is an SAP Silver Partner and authorized service provider offering technical architecture, application design and configuration, integration, testing, data migration and solution adoption services for solutions including SAP SuccessFactors, SAP HCM On-Premises and SAP Business Intelligence >Application Management Services (AMS): We offer post go-live, System Health Check and Optimization, Function Enhancements, Integration Monitoring, Release, and patch services. Our AMS services span across SAP Solutions including ERP (S/4 HANA), Financial Management, Human Capital Management, Data and Analytics, Supply Chain, CRM, and Customer Experince. >IT Consulting and Staffing Augmentation Services: Ever since its inception, 3Core Systems has been offering IT Consulting and Staff Augmentation solutions including temporary, long-term, project based and contract staffing services that could be personalized based on your needs. Our staffing services span across emerging technologies and legacy solutions including but not limited to Artificial Intelligence, Machine Learning, Data Science, Cloud, ERP, CRM, BI/BW/ETL, Database, Web & E-Commerce, UI/UX, Network & Security and Mobile.
