Deep Learning / Computer Vision Engineer

About The Opportunity

Our client, a leader in AI testing and development, is looking for a skilled Deep Learning Computer Vision Engineer to join their team for a 12-month remote contract engagement. This project involves designing, training, and optimizing computer vision models for complex object detection, classification, and production deployment. This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly.

Responsibilities

• Designing and training Convolutional Neural Networks (CNNs) or Vision Transformers (ViTs) for object detection and classification.
• Optimizing computer vision models for edge deployment or mobile devices (e.g., using ONNX or TensorRT).
• Building data labeling pipelines and managing large-scale image/video datasets for training.
• Implementing real-time video analytics or image processing algorithms within production environments.
• Researching and implementing state-of-the-art vision papers to solve specific product challenges.

Requirements

• 4+ years of experience in Computer Vision or Deep Learning.
• Deep expertise in OpenCV, PyTorch, and CUDA-accelerated processing. This isn't a learning role—you need to be a subject matter expert.
• Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.
• Experience with cloud GPU clusters and managing large-scale unstructured data.
• Strong communication skills to provide clear and concise status updates to the project team.

Pay

$50/hr – $175/hr

Schedule

12-month contract, starting immediately. Remote work.