IT AI​/ML Developer - Generative AI & Automation

Overview

Location:

Minneapolis, MN | Full-Time | The hiring manager wants to start interviewing the week of January 5th.

The AI / ML Developer (Generative AI & Automation) will play a key role in turning emerging AI technologies into practical business value. As part of a growing Digital & IT team within a mid‑sized medical device contract manufacturer, this role focuses on developing and iterating solutions using large language models (LLMs), traditional machine learning (ML), and data‑centric workflows.

• AI Solution Design & Development:
  Design and iterate prompt structures and workflows using LLMs and other AI tools.
• Develop ML models using traditional techniques (e.g., XGBoost, linear/logistic regression) where appropriate.
• Collaborate with business and technical experts to evaluate and refine AI behavior.
• Analyze model performance, troubleshoot edge cases, and improve output reliability.
• Document assumptions, risks, and behavior of AI models in a testable, transparent format.

• Extract and prepare structured and unstructured data (e.g., text from PDFs, CAD metadata).
• Clean, transform, and validate input datasets to improve model performance.
• Assist in integrating AI outputs into existing tools and workflows.

• Package and test models using Python and tools such as Docker, Conda, and Jupyter.
• Support integration of AI models into cloud‑based services or user‑facing applications.

• Bachelor’s degree in computer science, engineering, or related field (or equivalent experience).
• Strong Python programming skills and experience with LLMs or generative AI.
• Familiarity with ML techniques such as XGBoost, decision trees, or regression models.
• Experience with data cleaning, parsing, and transformation for ML applications.
• Comfortable working in cross‑functional teams with both technical and non‑technical collaborators.
• Familiarity with tools like Docker, Conda, or Jupyter for testing and versioning.

• Hands‑on experience with LLMs (e.g., OpenAI, Anthropic, Hugging Face, etc.).
• Experience applying AI/ML in a manufacturing or engineering‑adjacent setting.
• Exposure to cloud‑based tools (e.g., AWS, Azure) and API integration.
• Curious mindset and willingness to iterate quickly on real‑world use cases.

• 401(k) retirement savings plan with a company match contribution.
• On‑site health clinics.
• Discretionary holiday bonus program (based on years of service).
• Clients University.
• 24/7 employee assistance program with access to five confidential visits with a licensed counselor at no cost.
• Wellness program with incentives.
• Employee death benefit.
• Employee sick and safe leave available to all Client employees.

Entry level

Full‑time

Information Technology

IT Services and IT Consulting

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