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.

This is a hands-on role for a problem solver who is curious, collaborative, and eager to work across disciplines. The developer will work closely with business and technical partners to design, test, and scale AI capabilities that support product development, operations, and knowledge work across the organization.

Essential Job Functions    

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.

Data Preparation & Integration

• 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.

Deployment & Testing

• 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.

Minimum Requirements, Education & Experience (incl. KSA’s and certifications)

• 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.

Desirable Criteria & Qualifications

• 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.