Medical Imaging AI Engineer

Job Title: Medical Imaging AI Engineer Experience: 15 Years Location: Hyderabad / Bengaluru / Pune / Chennai / Remote (Based on Project Requirements) Job DescriptionWe are looking for a talented Medical Imaging AI Engineer to join our AI team. The ideal candidate will have hands-on experience in developing AI solutions for medical image analysis using deep learning and computer vision techniques. You will work closely with business, clinical, data science, and engineering teams to build secure, scalable, and high-performance AI applications for healthcare and medical imaging. Key ResponsibilitiesDesign, develop, and deploy AI solutions for medical image analysis and diagnostics.Build deep learning models for image segmentation, classification, object detection, and anomaly detection.Process and analyze medical imaging data such as DICOM, CT, MRI, X-ray, Ultrasound, and related imaging formats.Develop data preprocessing, augmentation, and annotation pipelines for medical imaging datasets.Optimize AI models for accuracy, performance, and production deployment.Collaborate with cross-functional teams to integrate AI models into enterprise healthcare applications.Validate model performance using appropriate evaluation metrics and clinical validation methodologies.Ensure compliance with healthcare data privacy, security, and regulatory standards.Document technical solutions and support deployment, monitoring, and continuous model improvement.Required SkillsStrong programming experience in Python.Hands-on experience with Deep Learning, Computer Vision, and Medical Imaging AI.Experience working with DICOM images and medical imaging datasets.Knowledge of Image Segmentation, image preprocessing, annotation, and validation techniques.Experience with frameworks such as PyTorch, TensorFlow, Keras, OpenCV, or MONAI.Familiarity with medical imaging workflows and AI model evaluation.Understanding of healthcare data privacy and secure AI development practices.Strong analytical, problem-solving, and communication skills.Preferred SkillsExperience with medical imaging standards such as DICOM and PACS.Knowledge of radiology imaging workflows.Experience deploying AI models using Docker, REST APIs, FastAPI, or cloud platforms (AWS, Azure, or GCP).Familiarity with MLOps, model monitoring, and CI/CD pipelines.QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Biomedical Engineering, or a related field.15 years of overall experience, including 12 years of relevant hands-on experience in Medical Imaging AI, Computer Vision, or related technologies.Interested candidates can share their updated resume at:[HIDDEN TEXT]