Machine Learning AI_W2_Bentonville AR

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning AI Engineer, contracted for an unspecified length, offering a competitive pay rate in Bentonville, AR. Key skills include Python, LLMs, LangChain, and experience with Looker ML. Familiarity with cloud platforms and NLP is preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 13, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Bentonville, AR
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🧠 - Skills detailed
#Cloud #Azure #NLP (Natural Language Processing) #Data Pipeline #Scala #Data Engineering #Data Access #Looker #Visualization #Python #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Langchain #API (Application Programming Interface) #Security #BI (Business Intelligence) #ML (Machine Learning) #AI (Artificial Intelligence) #Databases
Role description
Overview We are seeking a highly skilled and innovative Machine Learning / AI Engineer to design and build a new AI. This agent will streamline workflows by enabling users to request data directlyβ€”without needing to search for it manually. This is a hands-on engineering role focused on building intelligent, scalable, and user-friendly AI solutions using the latest in LLM, Generative AI, and agentic frameworks. Key Responsibilities β€’ Architect and develop a custom AI agent capable of understanding natural language queries and retrieving relevant data. β€’ Integrate Large Language Models (LLMs) and Generative AI capabilities to enhance user experience. β€’ Utilize LangChain to orchestrate agent workflows and tool integrations. β€’ Build and maintain data pipelines using Python and Looker ML for real-time data access and visualization. β€’ Collaborate with cross-functional teams to understand associate needs and translate them into technical solutions. β€’ Ensure scalability, security, and performance of AI systems in production environments. Required Skills & Experience β€’ Proven experience building AI agents or chatbots using LLMs and LangChain. β€’ Strong proficiency in Python for ML development and API integration. β€’ Familiarity with Generative AI concepts and tools. β€’ Experience with Looker ML or similar BI/ML platforms. β€’ Understanding of retrieval-augmented generation (RAG) and agentic AI workflows. β€’ Ability to work independently and communicate effectively with technical and non-technical stakeholders. Preferred Qualifications β€’ Experience deploying AI solutions in enterprise environments. β€’ Knowledge of cloud platforms (AWS, Azure, GCP). β€’ Familiarity with vector databases and embedding models. β€’ Background in NLP, data engineering, or MLOps.