

Machine Learning AI_W2_Bentonville AR
β - 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.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 13, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Bentonville, AR
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π§ - 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 directlyβwithout 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.
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 directlyβwithout 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.