Intern Supply Chain

Stryker Group; Gurugram District; Hybrid; INR 1,200,000 - 2,000,000; Full time

Job summary

Stryker Group is seeking a data/ML‑oriented candidate to analyze order documents and build a robust extraction pipeline. You will evaluate OCR tools, map formats and fields, and ensure data quality through validation against master data.

The role involves integrating the output with downstream data infrastructure for reporting and order entry. The ideal candidate has strong Python skills, a Master’s in Engineering (class of 2025/2026), and a keen interest in ML, CV, or NLP, with basic SQL

Qualifications

• Proficiency in Python for data processing and scripting.
• Master’s in Engineering with expected graduation 2025/2026.
• Interest or exposure to ML, CV, or NLP.
• Basic SQL and comfort with structured data.
• Analytical mindset and data quality focus.
• Familiarity with UIPath and/or PowerAutomate automation.

Responsibilities

• Analyze incoming order documents and map formats, fields, and edge cases.
• Evaluate OCR and document-extraction tools and assist tool selection.
• Build a pipeline to extract structured order data (customer, part numbers, quantities, prices, dates, PO refs).
• Implement validation against master data and flag uncertain results for review.
• Integrate output with existing data infrastructure for reporting and order entry.

Skills

Python

SQL basics

UIPath

PowerAutomate

ML/NLP interest

Analytical mindset

Education

Master's in Engineering

Tools

Tesseract

PaddleOCR

LayoutLM

Job description

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.

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.