As an AI Engineer, you will play a crucial role in bridging the gap between AI science and production, helping to develop and deploy production-ready AI models and solutions. You will be responsible for developing and deploying AI models from end-to-end, from large-scale model training to implementing and managing the workflows necessary to optimize, package, deploy, monitor, and maintain machine learning models. Responsibilities include working with large-scale datasets, designing and developing novel machine learning algorithms particularly in LLM to automate clinical tasks using medical images, electronic medical records, waveforms, and clinical reports. Demonstrate algorithms to meet accuracy requirements through statistical analyses and error estimation. Build prototypes for high-performance AI algorithms in scalable, product-ready code. Stay current on state-of-the-art algorithms and competing technologies. Contribute to software and data delivery platforms that are service-oriented with reusable components across teams. Basic qualifications include a graduate degree in computer science or related areas with two years of industry experience, experience in areas such as Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, and proficiency in programming languages like Python, Java, C/C++, with in-depth experience in Spark/Hadoop and PyTorch/Tensorflow. Preferred qualifications include experience handling noisy real-world medical and patient data and cloud experience. Legal authorization to work in the U.S. is required. Must be willing to travel and work out of an office in the greater Seattle Area. The team values work-life balance, mentorship, career growth, and an inclusive culture. GE HealthCare is an equal opportunity employer and offers relocation assistance for U.S. based positions.
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