We are looking for Computer Vision Analytics Engineers to work on cutting-edge Medical Video Analytics solutions.
This role focuses on AI-powered video processing, real-time object detection, and cloud-based analytics to enhance endoscopic procedures and MRI imaging.
🔍 Location: Santa Clara, CA
📆 Duration: 12 Months
We are looking for Computer Vision Analytics Engineers to work on cutting-edge Medical Video Analytics solutions. This role focuses on AI-powered video processing, real-time object detection, and cloud-based analytics to enhance endoscopic procedures and MRI imaging.
Key Responsibilities:
✅ Develop AI-driven video analytics models for real-time medical imaging.
✅ Process and analyze high-speed medical video streams from robotic-assisted surgeries and endoscopic procedures.
✅ Implement computer vision algorithms for object detection, segmentation, and classification.
✅ Ensure secure data transmission between edge devices and the cloud.
✅ Work with TensorFlow, PyTorch, OpenCV, and AI-powered cloud platforms (Azure AI, AWS, Edge AI).
✅ Deploy containerized AI models (Docker, Kubernetes) for scalable hospital use.
✅ Collaborate with radiologists and healthcare professionals to refine AI solutions.
✅ Ensure compliance with HIPAA, FDA, and medical AI regulations.
Required Skills & Qualifications:
📌 Computer Vision & AI: Object detection (YOLO, Faster R-CNN), image segmentation (U-Net, Mask R-CNN), classification (ResNet, ViTs).
📌 Medical Imaging Experience: MRI, Endoscopy, Ultrasound, OCR-based recognition.
📌 Programming Expertise: Python, TensorFlow, PyTorch, OpenCV.
📌 Machine Learning & Deep Learning: CNNs, GANs, Vision Transformers, Attention-based networks.
📌 Model Deployment & Cloud: Docker, Kubernetes, Azure AI, AWS, Edge AI.
📌 Medical IT Systems: PACS, DICOM-based workflows, hospital IT systems.
📌 High-Performance Computing: Multi-GPU workloads, parallel computing.
📩 How to Apply?
📧 Recruiter Contact: Satin Harper
📨 Email: satinh@cohetech.com
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