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 36 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 :

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.

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.

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.

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.

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 : Bachelors in Computer Science, Electronics, or related engineering field.

- Masters degree or certifications in AI/ML is a plus.

Experience : 3 to 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.

Why Join Hypervise? :

- Build solutions that are deployed across real industrial environments.

- Work alongside passionate technologists in a startup culture.

- Access to advanced tools, data, and edge-AI hardware.

- Be part of a company leading the industrial AI revolution