Stryker—Intern Supply Chain

Job description

Description: Work Flexibility: Hybrid What You will do: - Analyze incoming order documents and map out their formats, fields, and edge cases. - Evaluate OCR and document-extraction tools (e.g. Tesseract, PaddleOCR, layout-aware models like LayoutLM/LiLT) and help choose the right approach. - Build a pipeline that extracts structured order data (customer, part numbers, quantities, prices, dates, PO references) from documents. - Implement validation against master data and a review step that flags uncertain results for a human to check. - Integrate the output with existing data infrastructure for downstream reporting and order entry. - Document your work and support handover to the team. What you will need: Required Qualification: - Working knowledge of Python (data processing, scripting). - Masters degree in Engineering passing out in 2025 or 2026 - Interest in (or some exposure to) machine learning, computer vision, or NLP. - Basic SQL and comfort with structured data. - An analytical mindset and strong attention to data quality - Basic knowledge of UI-based automations (eg. UiPath) and/or API-based automations (eg. PowerAutomate) Preferred Qualification: - Experience with OCR libraries or document-AI models. - Familiarity with cloud data platforms and pipeline tooling. - Version control (Git) and collaborative development experience. Travel Percentage: 0%