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Machine Learning Engineer Intern at Entrupy

Machine Learning Engineer Intern at Entrupy

Sourced from entrupy.com

ML Intern

Bangalore, India
Full-Time
Posted June 8, 2026
Salary
40K-65K/Month
Batches
2024, 2025, 2026, 2027
Apply Route
100% Direct

About The Role

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.

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.
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.

Requirements

  • 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.

Eligibility Checklist

Currently pursuing a Bachelor's or Master's degree in Electronics, Physics, Computer Science, or a related field.

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