CONFLUX SYSTEMS
AI ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI ML Engineer with a contract length of "unknown", offering a pay rate of "unknown", and requiring local candidates only. Key skills include Python, Generative AI, LangChain, and NLP. Proven experience in AI solutions is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
400
-
🗓️ - Date
June 12, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Generative Models #Deep Learning #Programming #Scala #AI (Artificial Intelligence) #Langchain #Python #Data Science #ML (Machine Learning) #NLP (Natural Language Processing)
Role description
Only W2 and Locals
The Role
Responsibilities:
• Design and implement AI solutions using LangChain, LangGraph, and RAG techniques.
• Develop custom NLP and generative models tailored to business needs.
• Integrate AI models with existing systems and workflows.
• Optimize model performance and scalability.
• Collaborate with data scientists and software engineers to deliver end-to-end AI applications.
• Stay updated with the latest advancements in generative AI and large language models.
Requirements:
You are:
• Proven experience in building and deploying Generative AI solutions.
• Strong proficiency in Python programming.
• Hands-on experience with LangChain, LangGraph, and RAG methodologies.
• Solid understanding of NLP, machine learning, and deep learning concepts.
• Excellent problem-solving and analytical skills.
• Effective communication skills to work with multidisciplinary teams.
Only W2 and Locals
The Role
Responsibilities:
• Design and implement AI solutions using LangChain, LangGraph, and RAG techniques.
• Develop custom NLP and generative models tailored to business needs.
• Integrate AI models with existing systems and workflows.
• Optimize model performance and scalability.
• Collaborate with data scientists and software engineers to deliver end-to-end AI applications.
• Stay updated with the latest advancements in generative AI and large language models.
Requirements:
You are:
• Proven experience in building and deploying Generative AI solutions.
• Strong proficiency in Python programming.
• Hands-on experience with LangChain, LangGraph, and RAG methodologies.
• Solid understanding of NLP, machine learning, and deep learning concepts.
• Excellent problem-solving and analytical skills.
• Effective communication skills to work with multidisciplinary teams.
