Remote Computer Vision Engineer

Sourced from flexgen.zya.me

We are seeking a Remote Computer Vision Engineer to design and implement computer vision algorithms and deep learning models for next-generation AI applications. The role involves processing large-scale image and video datasets, building object detection and segmentation systems, and collaborating with a cross-functional team. This is a fully remote position based in the US.

• Develop and optimize computer vision algorithms for object detection, image segmentation, tracking, and recognition.
• Implement and fine-tune deep learning models (CNNs, Transformers) for computer vision applications.
• Process and analyze large-scale image and video datasets for model training and evaluation.
• Collaborate with cross-functional teams to integrate computer vision solutions into products.
• Research and stay updated on the latest computer vision and deep learning advancements.
• Optimize algorithms for performance and efficiency on various hardware platforms.
• Design and conduct experiments to validate model performance.
• Develop robust pipelines for data annotation, model training, and deployment.
• Contribute to the architecture of scalable computer vision systems.
• Document research findings, algorithms, and system designs.

• Master's or Ph.D. in Computer Science, Electrical Engineering, or related field with specialization in computer vision or machine learning.
• Proven experience in developing and deploying computer vision algorithms and systems.
• Strong programming skills in Python and C++, with proficiency in OpenCV, TensorFlow, PyTorch, or similar.
• Deep understanding of classical computer vision techniques and modern deep learning approaches.
• Experience working with large image and video datasets.
• Experience with cloud computing platforms (AWS, GCP, Azure).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication skills and ability to work independently and collaboratively in a remote team.

• Familiarity with image processing techniques, 3D vision, and sensor fusion.