ML Intern

India·Bangaloreentry

Data ScienceOtherIntern

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Quick Summary

Overview

About Entrupy Entrupy is a global technology company whose mission is to protect businesses, borders and consumers from transacting in counterfeit goods.

Key Responsibilities

Algorithm Research & Support: Assist in researching, designing, and training computer vision models for authentication, fingerprinting, image capture, and other customer-centric computer vision applications.

Requirements Summary

Currently pursuing a Bachelor's or Master's degree in Electronics, Physics, Computer Science, or a related field. Foundational understanding of Computer Vision algorithm development. Familiarity with Python. Basic understanding of PyTorch and OpenCV.

Technical Tools

pythonpytorchcode-reviewecommercemachine-learningmentoring

About Entrupy

Entrupy is a global technology company whose mission is to protect businesses, borders and consumers from transacting in counterfeit goods. Entrupy has developed a patented technology system which utilizes a combination of AI and computer vision to instantly identify and authenticate high value physical goods.

Entrupy’s solutions serve business customers including leading luxury brands, retailers, e-commerce marketplaces and online resellers in over 60 countries. Entrupy is growing quickly with team members based in the US, India, Japan and Brazil. Entrupy’s solutions in market:

● Entrupy Apparel Authentication

● Entrupy Bags & Leather Goods Authentication

● Entrupy Sneaker Authentication

● Entrupy Fingerprinting

We’re seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.

About the Role

~1 min read

We are seeking a Machine Learning Engineer Intern to contribute to the development of computer vision algorithms focused on item authentication and fingerprinting. In this role, you will support the research, development, and deployment of algorithms and models aimed at accurately determining the authenticity of items through the analysis of their unique visual characteristics and assigning unique digital identities based on image data.
You will also assist in refining the image capture experience on edge devices and contribute to ensuring model interpretability.

Responsibilities

~1 min read

→Algorithm Research & Support: Assist in researching, designing, and training computer vision models for authentication, fingerprinting, image capture, and other customer-centric computer vision applications.
→Code Quality & Testing: Write clean, modular, and well-tested code. Develop unit and integration tests to maintain high standards of code quality and reliability. Participate in code reviews, contributing to pull requests and collaborating with team members.
→Model Deployment Support: Provide support in building and maintaining APIs to efficiently deploy models in production.
→Continuous Learning: Stay current with advancements in Computer Vision and Machine Learning.
→Collaboration: Work with internal teams to understand needs and gather feedback on algorithm performance.
→Documentation: Contribute to clear and concise documentation of algorithms and models.

Currently pursuing a Bachelor's or Master's degree in Electronics, Physics, Computer Science, or a related field.
Foundational understanding of Computer Vision algorithm development.
Familiarity with Python.
Basic understanding of PyTorch and OpenCV.
Strong foundational skills in probability & statistics, calculus, geometry, optimization, and linear algebra.
Ability to rapidly acquire new skills and technologies.
Strong problem-solving skills and attention to detail.
Willingness to contribute to code reviews and collaborate with peers.