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Job description
We are excited to be named one of the World’s Best Workplaces by Fortune Magazine!
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.
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers cutting-edge products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.