AI Data Scientist

AI Data Scientist Strategic Staffing Solutions

• 3.

6 Detroit, MI Job Details Contract 8 hours ago Benefits Health savings account Health insurance Dental insurance 401(k) Tuition reimbursement Paid time off Vision insurance Life insurance Referral program Qualifications AI models GPU programming Statistics Systems integration Software engineering Continuous Delivery (CD) implementation Performance optimization IT system monitoring System design Integration Architecture Design (Architecture design skills) Git AI platforms (beyond public GPTs) Computational framework Enterprise software systems development Prompt engineering Databases Production systems Machine learning cloud services Machine intelligence Model deployment Implementing APIs Data science DevOps automation Machine learning libraries RHEL Model evaluation Machine learning frameworks Python Design (software development lifecycle) MLOps Full Job Description AI Data Scientist Detroit, MI (Hybrid/Onsite Tue, Wed, Thu) W2 contract role 6 Months then eligible for Contract renewal Role Overview The Advanced Analytics Hub team is looking to bring on board an Expert AI Data Scientist for an AI project as a Contractor. The objective of this project is to build an intelligent, agentic AI solution that provides material recommendations from SRM Material Catalogs at the point of purchase requisition , leveraging RAG and LLM-based capabilities.

Key Requirements:

End-to-End Agentic RAG System Design

• Proven experience designing and deploying production-grade RAG systems, including embeddings, vector search, and agent orchestration for multi-step reasoning workflows. LLM & GenAI Integration at Scale (with Agent Frameworks)
• Hands-on expertise integrating LLMs into enterprise applications, including prompt engineering, tool usage, and experience with frameworks such as LangGraph/LangChain, Semantic Kernel, or AutoGen. Retrieval Quality, Evaluation & Optimization
• Strong background in evaluation frameworks (precision/recall, grounding accuracy, hallucination detection) and optimization techniques (chunking, re-ranking, hybrid search). MLOps & Productionalization
• Experience deploying AI solutions at scale with CI/CD pipelines, model lifecycle management, monitoring, and cloud environments (Azure preferred). Strong ML & Statistical Foundation
• Deep expertise in Python, ML/statistics, and experimentation with a focus on rigorous validation of model performance and business impact. Systems Thinking & Enterprise Integration
• Ability to architect and integrate AI solutions within enterprise ecosystems (preferably SAP/SRM or similar procurement workflows). Vector Databases & Retrieval Infrastructure
• Hands-on experience with vector databases (e.g., Azure AI Search, Pinecone, FAISS) and optimization for real-time use cases. Core Engineering Best Practices
• Strong proficiency in Python, Git, API development, and modern software engineering practices including CI/CD for ML systems. Experience running local models
• we run local models on high compute servers on prem (500 GB RAM, 4 L40s GPUs, 64 cpu running on

RHEL 9.7

) before deploying the solution on cloud platform to save us the cloud cost during development

Benefits:

401(k) Dental insurance Health insurance Health savings account Life insurance Paid time off Referral program Tuition reimbursement Vision insurance

Location:

Detroit, MI 48226 (Required)

Work Location:

Hybrid remote in Detroit, MI 48226