DL/Image Processing Intern

Chennai, India
Added: April 12, 2024
As a member of the product team, you will research, design, implement, optimize and deploy image processing algorithms to continuously evolve our AI ecosystem. The usual day-to-day tasks include implementing new image processing algorithms, reading deep learning code/papers, fine tuning them on our data, reviewing performance metrics, integrating and optimizing the algos to run efficiently in our platform while continuously iterating and improving based on real-world performance.


  • Select, test, implement and optimize image processing and image analysis using both classical and deep learning methods to extract relevant signals from imaging data.
  • Design and implement algorithms to carry out image processing including filtering, alignment, segmentation and feature extraction efficiently across multi-terabyte sized datasets.
  • Research and fine tune the latest image processing algorithms on our dataset to run efficiently while optimizing based on real-time performance.
  • Write robust, well-documented, and well-tested code libraries that adhere to community standards and best practices.


Desired skills and experience:

  • Preferred experience as a Machine/Deep-Learning Engineer or similar role.
  • Understanding of data structures, data modeling and software architecture.
  • Ability to write robust code in Python.
  • Experience with Tensorflow and PyTorch
  • Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment.
  • Preferred Experience in remote sensing.
  • Ability to collaborate effectively across the team.
  • Detail-oriented team member who can consistently meet deadlines.


  • Fair compensation will be provided as per market standards
  • Experience rapid growth and start-up culture
  • Open to exploring, discussing and implementing new ideas and processes
  • Opportunity to work closely with the Founding Team at GalaxEye
  • Get a chance to work with Advisors holding senior positions and decades of experience.