What are the responsibilities and job description for the AI Analytics Engineer position at YD Talent Solutions?
Computer Vision Analytics Engineer Medical Video / Image Analytics
Job Description :
We are seeking Computer Vision Analytics Engineers to support a Medical Video Analytics Project. This initiative integrates realtime
medical video processing AIpowered computer vision and cloudbased analytics to enhance endoscopic procedures and MRI
imaging.
The role involves working on edgetocloud video processing pipelines developing vision algorithms for realtime object detection
and building machine learning models that generate automated insights and recommendations for medical professionals.
Key Responsibilities :
Work with realtime video feeds from roboticassisted surgery and endoscopic procedures.
Support remote and inhospital control workflows for AIenhanced video analytics.
Process and analyze highspeed medical video streams at gigabitpersecond (Gbps) throughput.
Ensure secure transmission of MRI and endoscopic video feeds from edge devices to the cloud.
Develop scalable EdgetoCloud AI solutions ensuring lowlatency inference for various medical applications.
Implement AI models that analyze video content and classify frames as useful or nonuseful.
Develop AIdriven video segmentation and classification models to filter relevant vs. nonrelevant frames.
Develop object detection segmentation and tracking models to identify anatomical structures surgical instruments and
procedural steps in real time.
Implement video enhancement and denoising techniques to improve image clarity and feature extraction.
Deploy deep learningbased models for medical video analytics using TensorFlow PyTorch and OpenCV.
Compare realtime footage with pretrained medical video datasets to generate automated insights.
Develop containerized AI models (Docker Kubernetes) to ensure scalable deployment in hospital environments.
Integrate AIpowered video analytics pipelines with cloudbased AI models (e.g. Azure AI)
Ensure seamless bidirectional communication between cloud AI models and edge computing systems.
Work closely with radiologists and healthcare professionals to finetune AIdriven video object detection and
recommendations.
Integrate AIpowered video analytics solutions with existing hospital PACS DICOM storage and medical imaging
infrastructure.
Ensure AI models comply with HIPAA FDA and medical device regulations for clinical deployment.
Requirements
Qualifications :
Demonstrated experience in computer vision AI model development and optimization.
Experience working with medical videos including MRI endoscopy ultrasound echocardiograms and OCRbased
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 DICOMbased 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 RCNN) Image segmentation (UNet
Mask RCNN) Image classification (ResNet EfficientNet ViTs) Feature extraction (SIFT SURF ORB)
Strong knowledge of machine learning techniques including Supervised unsupervised and selfsupervised learning CNNs
Vision Transformers (ViTs) GANs attentionbased networks Random forests SVMs boosting algorithms
Proficiency in data preprocessing augmentation normalization and handling largescale image datasets.
Experience working with multiGPU workloads for training and inference.
Experience deploying models using containerization technologies (Docker Kubernetes).
Experience with highperformance computing (HPC) techniques for managing largescale datasets.
Background in federated learning for medical AI to enhance privacypreserving model training.
Prior experience in developing AI solutions for realtime clinical applications.
Strong understanding of regulatory constraints in AIdriven medical applications.
Ability to effectively communicate complex AI models to technical and nontechnical stakeholders.
Computer Vision, Medical videos, AI model development, optimization, multi-modal AI, Python, PyTorch, TensorFlow, OpenCV, YOLO, SSD, R-CNN, ResNet, EfficientNet, ViTs, IFT, SURF, ORB, data preprocessing, augmentation, normalization, Docker, Kubernetes, datasets, image processing, healthcare, hospitals, imaging, MRI, PACS, and DICOM
Education
Bachelors OR Masters
Key Skills
Adobe Analytics,Data Analytics,SQL,Attribution Modeling,Power BI,R,Regression Analysis,Data Visualization,Tableau,Data Mining,SAS,Analytics
Employment Type : Full Time
Experience : years
Vacancy : 1
