Computer Vision Engineer
Augle AI is seeking a Computer Vision Engineer Intern to work on real-world computer vision problems and automation solutions. The role involves developing robust algorithms, collaborating with a multidisciplinary team, and building high-quality reusable code using skills in Python, TensorFlow/PyTorch, and C++.
Augle AI is an AI company founded by IIT-Bombay Alumni, focused on developing computer vision based Automation Solutions. We specialise in Computer Vision model development, optimization & deployment on edge devices & the cloud. We work in various domains in computer vision like Face Recognition, Object Recognition, Crowd Analytics, Vehicle Analytics, Video Analytics, etc. We have won E-Cell's Eureka 2019 IIT-Bombay track, which is Asia’s largest business model competition, Startup Jalsa 2018 as well as we were the finalist at International Entrepreneurship Competition 2018, held at NTUST, Taiwan. We were also selected as one of the top 12 AI startups in India by Telangana Government. Our mission is to Accelerate the Adoption of Automation in the World. The products that we are developing have the potential to disrupt multiple industries in the future. We are looking for teammates who are passionate about creating a huge impact on the world with their work and are willing to put in extra effort for that. Intern will get a job offer on the basis of good performance at the end of the internship.
We are looking for candidates experienced in Computer Vision (college students or otherwise) for working on Automation Solutions for various industries. Applicants should have a good experience in Python, Tensorflow/PyTorch, and computer vision with projects displaying their problem-solving skills and expertise in the field.
No constraints on qualification. Previous work & projects are important.
4-6 Months preferably (Do apply & mention the possible duration if you are available for shorter time duration, selection would depend on skills)
Hybrid Work. You will need to visit the office a few times a week as per requirement.
Posted June 11, 2026