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Design, build, and deploy AI solutions for healthcare-related use cases. Develop machine learning models for health data analysis, prediction, and decision support. Work with clinical, operational, or health-related datasets to extract useful insights. Build AI-powered tools such as chatbots, screening systems, recommendation engines, or diagnostic support systems. Collaborate with healthcare professionals, product teams, and software engineers to understand problems and create practical AI solutions. Clean, preprocess, and analyze structured and unstructured health data. Integrate AI models into web, mobile, or backend systems using APIs. Monitor model performance, accuracy, reliability, and safety after deployment. Ensure AI solutions follow ethical, privacy, and data protection standards. Document models, processes, experiments, and technical decisions clearly.