AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer on a 6-month contract-to-hire, remote (EST hours preferred), with a pay rate of $70–$80/hr. Key skills include 5+ years in AI/ML development, Microsoft Fabric, Python, and enterprise data integration.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
640
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🗓️ - Date discovered
September 17, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Docker #Langchain #BI (Business Intelligence) #Data Pipeline #Big Data #ML (Machine Learning) #Microsoft Power BI #Cloud #Scala #"ETL (Extract #Transform #Load)" #Transformers #Azure #CRM (Customer Relationship Management) #Data Lake #Security #Kubernetes #SQL (Structured Query Language) #Spark (Apache Spark) #AI (Artificial Intelligence) #SharePoint #KQL (Kusto Query Language) #DevOps #Data Processing #API (Application Programming Interface) #Delta Lake #Python #Deployment #Data Integration
Role description
AI Engineer – Remote (EST Hours Preferred)
Location: Remote (EST hours preferred)
Duration: 6-Month Contract-to-Hire
Comp: $70–$80/hr W2 | Conversion: $140K–$150K + bonus + benefits
Work Authorization: GC/USC only – client cannot sponsor or transfer H1B
Join a cutting-edge AI initiative to build intelligent agents that integrate seamlessly with a Microsoft Fabric Data Lake connecting ERP, CRM, PLM, planning, and helpdesk systems — plus unstructured data from SharePoint, file servers, and document repositories. Your work will enable next-generation RAG systems, vector search, and multi-LLM orchestration to transform how data powers decision-making across manufacturing, supply chain, and customer operations.
What You’ll Do:
• Architect and implement AI agents leveraging Microsoft Fabric as the central data hub
• Build RAG pipelines with FAISS, Pinecone, Weaviate, or ChromaDB for hybrid structured/unstructured search
• Integrate with enterprise systems (Infor M3, Salesforce, Anaplan, PLM, Freshworks) and process unstructured data from SharePoint and file systems
• Develop multi-LLM solutions using OpenAI GPT-4, Anthropic Claude, Google Gemini, Cohere
• Deploy scalable solutions with Docker, Kubernetes, and CI/CD pipelines
• Build natural language interfaces for querying data across the organization
Must-Have Skills:
• 5+ years AI/ML development with enterprise data integration
• 3+ years experience with Microsoft Fabric, Azure Data Lake, or Delta Lake platforms
• Strong Python (LangChain, LlamaIndex, Transformers), SQL/KQL, and vector database expertise
• Experience designing RAG systems and multi-LLM orchestration strategies
• Familiarity with SharePoint API integration, event-driven data pipelines, and enterprise security (OAuth/SSO)
• Cloud deployment experience (Azure preferred), containerization (Docker/Kubernetes), and DevOps practices
Nice to Have:
• Microsoft Fabric or Azure AI certifications
• AI implementation experience in manufacturing or finance
• Power BI development and Spark/big data processing experience
• Experience mentoring or leading AI/ML projects
#Tech #remote
AI Engineer – Remote (EST Hours Preferred)
Location: Remote (EST hours preferred)
Duration: 6-Month Contract-to-Hire
Comp: $70–$80/hr W2 | Conversion: $140K–$150K + bonus + benefits
Work Authorization: GC/USC only – client cannot sponsor or transfer H1B
Join a cutting-edge AI initiative to build intelligent agents that integrate seamlessly with a Microsoft Fabric Data Lake connecting ERP, CRM, PLM, planning, and helpdesk systems — plus unstructured data from SharePoint, file servers, and document repositories. Your work will enable next-generation RAG systems, vector search, and multi-LLM orchestration to transform how data powers decision-making across manufacturing, supply chain, and customer operations.
What You’ll Do:
• Architect and implement AI agents leveraging Microsoft Fabric as the central data hub
• Build RAG pipelines with FAISS, Pinecone, Weaviate, or ChromaDB for hybrid structured/unstructured search
• Integrate with enterprise systems (Infor M3, Salesforce, Anaplan, PLM, Freshworks) and process unstructured data from SharePoint and file systems
• Develop multi-LLM solutions using OpenAI GPT-4, Anthropic Claude, Google Gemini, Cohere
• Deploy scalable solutions with Docker, Kubernetes, and CI/CD pipelines
• Build natural language interfaces for querying data across the organization
Must-Have Skills:
• 5+ years AI/ML development with enterprise data integration
• 3+ years experience with Microsoft Fabric, Azure Data Lake, or Delta Lake platforms
• Strong Python (LangChain, LlamaIndex, Transformers), SQL/KQL, and vector database expertise
• Experience designing RAG systems and multi-LLM orchestration strategies
• Familiarity with SharePoint API integration, event-driven data pipelines, and enterprise security (OAuth/SSO)
• Cloud deployment experience (Azure preferred), containerization (Docker/Kubernetes), and DevOps practices
Nice to Have:
• Microsoft Fabric or Azure AI certifications
• AI implementation experience in manufacturing or finance
• Power BI development and Spark/big data processing experience
• Experience mentoring or leading AI/ML projects
#Tech #remote
