Computer Vision Intern

**Job Title:** Computer Vision Intern (Full-time, On-site) **Location:** Baner, Pune (Maharashtra) **No. of Openings:** 01 **Company:** Muks Robotics AI Pvt. Ltd. **Duration:** 6 Months (Paid) **Department:** Computer Vision Department **Travel:** May require travel to client sites **About the Role:** We are seeking a motivated **Computer Vision Intern** to support the development, optimization, and deployment of vision-based solutions for real-time, production-grade environments. The intern will assist in projects spanning object detection, motion tracking, segmentation, OCR, pose estimation, and anomaly detection - gaining hands-on experience from concept to deployment on edge or server platforms. **Key Responsibilities:** * Assist in developing computer vision pipelines for detection, tracking, segmentation, recognition, and measurement tasks. * Support building solutions for OCR, human pose estimation, activity recognition, and anomaly/defect detection. * Aid in training, evaluating, and optimizing deep learning models for accuracy and performance. * Help manage data collection, cleaning, labelling, and augmentation processes. * Support optimization of systems for real-time deployment and high-performance processing. * Collaborate with hardware, firmware, and backend teams on deployment and integration tasks. * Document algorithms, experiments, and deployment workflows. **Required Skills \& Qualifications:** * Bachelor’s degree in Computer Science, AI/ML, Electronics, or related field. * Familiarity with Python programming and basic algorithm design. * Exposure to computer vision tasks such as object detection, segmentation, OCR, or pose estimation. * Interest in deploying AI models on edge or server environments. * Enthusiasm for working with real-time video data and high-performance processing. * Willingness to learn and travel as required. **Nice to Have:** * Experience with multi-threaded or distributed processing. * Understanding of industrial communication protocols. * Background or interest in automation, safety monitoring, or real-time analytics. Work Location: In person