Chief Engineer-AI

Lead the identification, development, evaluation, and implementation of cutting-edge AI/ML technologies and solutions across product development, clinical applications, and operational efficiency. Identify and evaluate emerging AI technologies, machine learning algorithms, and data science methodologies applicable to medical diagnostics and treatment. Establish and oversee the AI research and development roadmap, fostering a culture of innovation and scientific excellence within the AI team. Collaborate closely with product development, engineering, clinical affairs, and regulatory teams to ensure the ethical, safe, and effective integration of AI into medical devices and software. Develop and implement robust data governance strategies, ensuring data quality, privacy, and security in compliance with healthcare regulations (e.g., GDPR, HIPAA, NMPA). Monitor emerging AI trends, competitive landscapes, and technological advancements to maintain leadership position.

Master or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, or a related quantitative field. Minimum of 5 years of progressive experience in AI/ML leadership or principal engineering roles, preferably within the medical device, healthcare technology. Demonstrated track record of successfully developing and deploying impactful AI solutions in complex, regulated environments. Strong understanding of medical imaging, diagnostic workflows, and clinical decision support systems. Deep expertise in various machine learning techniques (deep learning, computer vision, natural language processing, reinforcement learning) and their application. Strong proficiency in programming languages such as Python, C++, and relevant AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras). Exceptional strategic thinking, problem-solving, and communication skills, with the ability to articulate complex AI concepts to diverse audiences. Experience with cloud AI platforms (e.g., AWS, Azure, Google Cloud) and various AI/ML frameworks (e.g., TensorFlow, PyTorch). Fluency in English and Mandarin is highly preferred.

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