About the role

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.

Reports to: ML Lead

Location: Remote or Hybrid in Bangalore, India

Duration: 6 months internship with an opportunity for PPO

What You'll Do:
 

• 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.
   

Who you are:
 

• 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.
   

What we offer
 

• Market-competitive compensation structure
• Opportunities to gain hands-on experience in cutting-edge computer vision solutions.
• A collaborative, mission-driven work culture with direct product impact.
• Mentorship from experienced Machine Learning Engineers.
• Opportunities to learn about deploying models on edge devices.