Computer Vision Analytics Engineer || Hybrid in CA

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)