Computer Vision Intern

Job Description

About Eternal Robotics – Hypervise Hypervise is the flagship industrial AI platform of Eternal Robotics, built to transform real-time quality inspection and automation through advanced computer vision and edge AI. Our clients span automotive, apparel, pharmaceuticals, and more — industries where speed, accuracy, and reliability are mission-critical. Role Overview We are looking for a AI Engineer - Computer Vision with 0-1 years of experience to develop and deploy production-grade CV solutions across our customer sites. This role combines hands-on development of models and algorithms with end-to-end ownership of system integration, testing, and deployment in real-world industrial environments. You will work closely with senior engineers, product leads, and customer teams to bring CV/AI projects to life and continuously improve solution performance. Key Responsibilities 1. Model Development & Testing Build and optimize deep learning models for object detection, segmentation, and classification. Use frameworks like YOLO, OpenCV, TensorFlow, and PyTorch to deliver high-performing models. Validate model accuracy against customer specifications and datasets. 2. CV Pipeline Implementation Develop modular and maintainable computer vision pipelines using Python. Integrate pre-processing, inference, and post-processing components for edge and server-side deployments. 3. Hardware & Deployment Support Work with industrial cameras, Jetson edge devices, and Linux-based systems for field deployment. Support hardware selection and calibration, assist with on-site installations and provide deployment troubleshooting. 4. Testing & Quality Assurance Write and execute test cases to ensure system functionality and robustness in diverse environments. Collaborate with QA and support teams to resolve performance issues. 5. Documentation & Collaboration Document architecture, model performance, and system configurations. Participate in code reviews and peer programming sessions. Coordinate with team leads and project managers to align with delivery timelines. Qualifications & Experience Education: Bachelor’s in Computer Science, Electronics, or related engineering field. Master’s degree or certifications in AI/ML is a plus. Experience: 3–6 years of hands-on experience in computer vision development, preferably in industrial or real-time environments. Key Technical Skills Proficiency in Python and OpenCV. Experience with deep learning libraries: PyTorch, TensorFlow, Keras. Familiarity with YOLO models (v5/v8), CNNs, object tracking, and segmentation. Working knowledge of Linux environments, Git, and basic shell scripting. Experience with Jetson Nano/Xavier, DeepStream SDK is preferred. Understanding of camera configuration, lighting setups, and imaging constraints. Experience deploying models on edge or embedded devices is a strong advantage. Soft Skills Strong debugging and problem-solving skills. Team player with a willingness to learn and adapt. Effective communicator capable of interfacing with both engineering and customer teams. Disciplined in documentation and reporting.