Computer Vision

About the internship Selected intern's day-to-day responsibilities include: 1. Develop a computer vision solution from scratch for a real world application. 2. Train, evaluate and optimise deep learning models 3. Integrate cameras and processing hardware 4. Research and implement state-of-the-art techniques 5. Maintain clean and documented version controlled code 6. Present regular progress updates and technical findings Skill(s) required C++ Programming Computer Vision Deep Learning Docker Git Linux Machine Learning NumPy OpenCV Python PyTorch Yolo Earn certifications in these skills Learn C++ Programming Learn Deep Learning Learn Machine Learning Learn Python Who can apply Only those candidates can apply who: 1. are available for full time (in-office) internship 2. can start the internship between 13th Jul'26 and 30th Aug'26 3. are available for duration of 3 months 4. have relevant skills and interests Other requirements 1. Strong Python programming skills 2. Hands-on projects in OpenCV and Pytorch / TensorFlow 3. Curiosity and the ability to learn independently 4. Basic understanding of Linux and Git 5. Interest in Robotics, Embedded AI and Industrial automation Perks Certificate Letter of recommendation Number of openings 2 About Vesslar Technologies LLP Website Vesslar Technologies LLP specializes in services related to industrial and marine engineering and in-house development of specialised industrial equipment. Activity on Internshala Hiring since July 2026 1 opportunity posted Apply now Additional Questions × Close Sign up to continue Candidate sign up Sign up/ Login with Google Sign up with Email OR Email Password First Name Last Name Sign up By continuing as a candidate, you agree to our T&C . Already registered? Login var to_show_recaptcha = 0; Sign up to continue Candidate sign up Sign up/ Login with Google Sign up with Email OR Email Password First Name Last Name Sign up By continuing as a candidate, you agree to our T&C . Already registered? Login var to_show_recaptcha = 0; var to_trigger_already_applied_btn_ga = 0;