Computer Vision Engineer

Senior Computer Vision / Image Processing Engineer

Experience required: 5+

Location: Remote

Your Roles and Responsibilities

Design and implement end-to-end image pipelines, including preprocessing, segmentation, and detection

Develop software-based color correction techniques using statistical or ML approaches (e.g., Gray World, SVM, SVR)

Apply morphological operations (erosion, dilation, interpolation) for noise and artifact removal

Implement and optimize image segmentation techniques, including:

- Classical methods (Active Contour / Snake models, Watershed)

- Deep learning–based approaches (UNet, UNet++, or similar)

Customize, fine-tune, and optimize real-time object detection models (preferably YOLO family) for domain-specific use cases

Work with large-scale image datasets, contributing to annotation protocol design and tooling

Collaborate closely with ML and product teams during experimentation and validation phases

Required Skills

Strong experience in Computer Vision and Image Processing

Hands-on expertise with OpenCV, Python, and deep learning frameworks

Proven experience in segmentation and object detection

Strong understanding of image quality correction and optimization techniques

Experience working in R&D or experimentation-heavy environments

Nice to Have

Experience in medical imaging or healthcare AI

Prior work in early-stage R&D or prototyping environments

Strong documentation and collaboration skills

Ability to start immediately or within short notice

Interested candidates can directly reach out at [Confidential Information]