Computer Vision Engineer

Develop and implement computer vision algorithms and applications.

Design, train, validate, and optimize deep learning models for image and video analysis.

Work on object detection, image classification, segmentation, tracking, and recognition.

Collect, clean, annotate, and prepare image/video datasets.

Perform image preprocessing and augmentation.

Implement and evaluate computer vision models using appropriate metrics.

Integrate computer vision models into production applications and systems.

Optimize models for performance, accuracy, latency, and resource consumption.

Work with real-time video streams and camera systems where required.

Conduct experiments and benchmark different computer vision approaches.

Collaborate with ML engineers, data scientists, software developers, and product teams.

Troubleshoot model and deployment issues.

Document algorithms, experiments, code, and technical solutions.

Stay updated with advances in computer vision, deep learning, and AI.