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Software architect • rochester mn
Senior Software Engineer - AI / ML
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Mayo ClinicRochester, MN, USSenior Software Engineer - AI / ML
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Position Responsibilities : Leverage machine learning techniques such as deep learning, natural language processing, computer vision, large language models, to lead the design, development, testing and deployment of machine learning and deep learning models for healthcare applications. Work on the full spectrum of the AI life cycle from ideation to production. Leverage advanced techniques in AI / ML to analyze vast amounts of healthcare data, including patient records, medical imaging, and genomic information, to develop AI solutions that meet clinical needs and integrated smoothly into clinical processes. Collaborate with multidisciplinary teams to support the engineering and implementation of AI / ML solutions. Develop robust machine learning pipelines to support production processes and setting new benchmarks for safety and effectiveness in clinical settings. Facilitate consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI / CD pipelines. Contribute to implementing the best practices and standards for AI development and deployment methodologies, tools, and platforms. Provide mentorship, guidance, and technical leadership to junior engineers within the AI enablement team. Provide consultative services on areas of expertise to clinical work units or AI product teams, offering insights and strategies to address complex business problems. Provide training and education to healthcare staff on AI tools and technologies. Contribute to developing new AI methods and technologies that can advance the state-of-the-art in healthcare AI. We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship / immigration status, veteran status, or any other status protected under federal, state, or local law.