AI/ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 9, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Bentonville, AR
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🧠 - Skills detailed
#Scala #ML (Machine Learning) #Data Science #Kubernetes #Python #Microservices #Langchain #FastAPI #Docker #AI (Artificial Intelligence) #Data Pipeline #Deployment #Data Access
Role description
Min 5years experience is required. Mandatory skill Kubernetes; LLMs, Python, Model Context Protocol, APIs, LangChain Description: We are seeking an AI/ML Engineer to design and develop an intelligent chatbot AI Agent that empowers merchants to analyse sales performance and make data-driven decisions. The solution will leverage LLMs, prompt engineering, and MCP-based tools (including FastMCP) to enable natural language queries, dynamic data retrieval, and actionable insights from Sam’s Club sales data. Responsibilities: β€’ Architect, develop, and deploy a chatbot AI Agent to support merchants in analysing sales performance and decision-making. β€’ Apply prompt engineering techniques to improve query handling, ensure accurate responses, and optimize LLM interactions. β€’ Build AI agent workflows leveraging LangChain, LangGraph, and FastMCP for tool integration and orchestration. β€’ Integrate MCP tools for dynamic data access, retrieval, and analysis. β€’ Fine-tune and optimize LLMs to handle merchant-specific queries with precision and efficiency. β€’ Design and implement testing strategies for AI Agents and LLM-based workflows, including evaluation of accuracy, reliability, and bias. β€’ Build APIs and microservices (using FastAPI) to support chatbot functionality and data pipelines. β€’ Deploy scalable solutions with Docker and Kubernetes, ensuring reliability and performance. β€’ Collaborate with product managers, data scientists, and business stakeholders to align AI solutions with merchant needs. Required Knowledge & Skills: β€’ Hands-on experience with LLMs, AI Agents, Chatbots, and prompt engineering. β€’ Strong understanding of testing and evaluation methods for LLM-powered agents, including prompt validation, output reliability, and user feedback loops. β€’ Proficiency in LangChain and LangGraph for agentic workflows and orchestration. β€’ Familiarity with FastMCP and MCP (Model Context Protocol) for tool integration. β€’ Proficiency in Python for AI/ML development. β€’ Experience building services with FastAPI. β€’ Proficiency with Docker and Kubernetes for scalable deployments. β€’ Strong problem-solving and communication skills to bridge technical solutions with merchant use cases. β€’ Ability to adapt quickly, learn complex systems, and contribute effectively in a fast-paced environment.