AI Data Scientist
Strategic Staffing Solutions
STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING! AI Data Scientist Remote in EST/CST
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:
* Beware of scams. S3 never asks for money during its onboarding process
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
* Beware of scams. S3 never asks for money during its onboarding process
Vacancy posted 3 days ago
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