Computer Vision Intern

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.