AI/ML Engineer Python & LLM_Onsite@Minnetonka, MN

Minnetonka, MN, US • Posted 1 hour ago • Updated 1 hour ago
Contract Independent
Contract W2
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Artificial Intelligence
  • Generative Artificial Intelligence (AI)
  • Large Language Models (LLMs)
  • Machine Learning (ML)
  • Python
  • LangChain
  • LlamaIndex
  • Amazon Web Services

Summary

Role : AI/ML Engineer Python & LLM
Work Location with Zip code: Minnetonka, MN 55345

Onsite from day one

Contract
Duration of the project: 6 Months

Minimum years of experience required: 8+ Years

Must-Have Skills

  • AI/ML (Artificial Intelligence & Machine Learning)
  • Python
  • Large Language Models (LLMs)
  • Agile methodology
  • Strong communication and collaboration skills

Job Description

We are looking for an experienced AI/ML Engineer with strong expertise in Python and Large Language Models (LLMs). The ideal candidate should have hands-on experience developing AI/ML solutions, building and integrating LLM-based applications, and working in an Agile development environment. Excellent communication skills and the ability to collaborate effectively with cross-functional teams are essential.

 

Roles & Responsibilities

  • Design, develop, and deploy AI/ML solutions using Python.
  • Build and integrate applications leveraging Large Language Models (LLMs).
  • Develop, test, and optimize machine learning models and AI workflows.
  • Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions.
  • Participate in Agile ceremonies including sprint planning, stand-ups, reviews, and retrospectives.
  • Troubleshoot, optimize, and maintain AI/ML applications for performance and scalability.
  • Document technical designs, implementation details, and best practices.
  • Stay current with emerging AI, ML, and Generative AI technologies.

Preferred Skills

  • Experience with Generative AI frameworks such as LangChain or LlamaIndex.
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Knowledge of vector databases (Pinecone, FAISS, ChromaDB, Weaviate).
  • Experience with REST APIs and model deployment.
  • Understanding of prompt engineering, RAG (Retrieval-Augmented Generation), and AI model evaluation.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10500016
  • Position Id: 9019521
  • Posted 1 hour ago
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