Job Description

Job Title: Computer Vision Analytics Engineer Medical Video/Image Analytics

Duration: 12 Months - Contract to Hire

Location: SFO/Santa Clara, CA Onsite 3-4 days in a week in the office.

Job Description:

We are seeking Computer Vision Analytics Engineers to support a Medical Video Analytics Project. This initiative integrates real-time medical video processing, AI-powered computer vision, and cloud-based analytics to enhance endoscopic procedures and MRI imaging.

The role involves working on edge-to-cloud video processing pipelines, developing vision algorithms for real-time object detection, and building machine learning models that generate automated insights and recommendations for medical professionals.

Qualifications:

• Demonstrated experience in computer vision, AI model development, and optimization.
• Experience working with medical videos, including MRI, endoscopy, ultrasound, echocardiograms, and OCR-based recognition.
• Proficiency in multimodal AI, integrating various medical imaging sources.
• Experience working closely with healthcare professionals and hospital workflows.
• Experience integrating AI models with hospital IT systems, PACS, and DICOM-based workflows.
• Proficiency in Python and experience with AI frameworks such as PyTorch, TensorFlow, OpenCV.
• Expertise in computer vision techniques, including Object detection (YOLO, SSD, Faster R-CNN), Image segmentation (U-Net, Mask R-CNN), Image classification (ResNet, EfficientNet, ViTs), Feature extraction (SIFT, SURF, ORB)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

• Dice Id: 10113809
• Position Id: 2025-98763

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