Computer Vision Engineer (Job Code: NSC000168)

Job Summary

We are seeking a Computer Vision Engineer for a VC funded Sustainable Packaging Startup.

Job Profile:

Design and optimize computer vision and image processing algorithms for industrial inspection and automation.
Work with high-resolution cameras, multi-lighting setups, RGB/depth sensors, and video streams.
Implement classical vision techniques (filtering, segmentation, contour & feature analysis).
Build, train, and deploy ML/DL models for detection, classification, segmentation, and tracking.
Optimize models for real-time and edge deployment (CPU/GPU, Jetson, Raspberry Pi).
Develop testing, validation, and production deployment pipelines.

Requirements:

B.Tech / M.Tech / Master’s in CS, ECE, Robotics, AI/ML, or related field.
2–4 years experience in computer vision, image processing, and ML.
Strong hands-on experience with OpenCV and vision pipelines.
Proficiency in Python (preferred) / C++.
Experience with TensorFlow, PyTorch, Keras, NumPy, scikit-learn.
Solid understanding of CNNs, ML algorithms, and datasets/annotation workflows.
Strong debugging and problem-solving skills.
Preferred :
Experience with YOLO, Mask-RCNN, UNet, EfficientNet.
Knowledge of edge/embedded deployment (Jetson, TensorRT, OpenVINO).
Familiarity with real-time systems, Git, CI/CD, Docker.

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