Overview
On Site
Full Time
Accepts corp to corp applications
Contract - W2
Contract - 12+ month
Skills
python
ocr
DICOM
Machine Learning
SSD
PyTorch
Ultrasound
Imaging
Real-Time
Computer Vision
MRI
segmentation
Medical Imaging
PACS
Solid State Drive
Job Details
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)
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