Intern Supply Chain

Stryker • Supply Chain • Health Care • Travel required • Master's Degree • Python • SQL • 2 hours ago
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Location
In office (Gurgaon)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 24, 2026. Stryker scores B on the Alion truth index.

Overview
Company
Impact
Profile match

Stryker

Stryker is an American medical technology company founded in 1941 by an orthopaedic surgeon who began manufacturing the mobility devices he had designed for his own patients. It sells hip and knee implants, trauma and extremity fixation, spinal implants, surgical power tools and navigation, hospital beds and stretchers, emergency response equipment, and the Mako robotic arm used for joint replacement planning and execution. Headquartered in Kalamazoo, Michigan and listed on the New York Stock Exchange, it has grown through a steady stream of acquisitions and is one of the largest orthopaedic device makers in the world.
stryker.com • HQ: Kalamazoo, United States • Hospitals & Clinics • Health Care • 5000+ employees • Est. 1941
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%

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