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 robust 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 team-oriented development experience.

Travel Percentage: 0%

Required Experience:

Intern

📌 Intern Supply Chain Gurugram (India)
🏢 Stryker
📍 India