We are seeking a motivated Intern – Cloud Infrastructure Documentation (AI Integrations) to support the documentation of cloud-based systems used to integrate AI/ML models that improve image quality control and image read efficiency across imaging platforms.
Requirements
- Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
- Foundational understanding of AI/ML concepts, including models, inference, and the difference between training and inference
- Data pipelines and distributed system architecture
- Strong technical writing and documentation skills, with the ability to translate complex concepts into clear, concise language.
- Familiarity with documentation tools such as Confluence, Markdown, Microsoft Word, or Google Docs.
- Exposure to API documentation (e.g., REST APIs, JSON schemas).
- Experience creating technical diagrams or architecture visuals.
- Interest in applied AI, platform engineering, or enterprise AI governance.
