[Remote] Principal AI/ML Engineer – AI Program

Note: The job is a remote job and is open to candidates in USA. Mayo Clinic is a top-ranked healthcare provider dedicated to enhancing patient care through innovative solutions. The Principal AI/ML Engineer will lead the development and deployment of AI/ML solutions in clinical practice, collaborating with multidisciplinary teams to address complex healthcare challenges.ResponsibilitiesProviding strategic direction and technical leadership for AI Engineering initiativesWorking with leadership team to define the AI roadmap and prioritize projects aligned with organizational objectivesLeading component design, development, integration, and standardization to create AI-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operationsLeading the collaboration with multidisciplinary teams, including clinicians, user experience designers, product managers, and IT professionals, to understand user needs, workflows, and clinical requirements and assess feasibility. Translating user feedback and requirements into design concepts and usability specifications for AI solutionsLeading the interpretation of data analysis to guide strategic choices and clarify complex insights for non-technical users to connect AI technologies and clinical applicationsLeading consultative services to clinical work units or AI product teams, offering insights and strategies to address complex business problemsLeveraging machine learning techniques such as deep learning, natural language processing, computer vision, large language models, etc., to lead the design, development, and deployment of end-to-end AI solutions for healthcare applications. This includes evaluating and guiding architectural choices involving vision encoders, multimodal fusion approaches, representation learning, and model adaptation strategiesEstablish rigorous evaluation methodologies and performance metrics to assess the effectiveness, usability, and impact of AI solutions in real-world healthcare settingsEnsuring compliance with ethical guidelines, regulatory requirements, and data privacy standards in the development and deployment of AI solutions by the AI development teamOverseeing the engineering of systems crucial for developing and deploying AI solutionsFacilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelinesDefining and implementing best practices and standards for AI development and deployment methodologies, tools, and platformsProviding mentorship, guidance, and technical leadership to junior engineers within the AI enablement team. May have supervisory responsibilitiesFostering a culture of collaboration, innovation, and knowledge sharing across the organizationSupporting talent development initiatives, including training programs, technical workshops, and skill-building activities to enhance team capabilitiesContributing to the development of new AI methods and technologies that can advance the state-of-the-art in healthcare AI, including novel approaches in multimodal learning, foundation models, representation learning, computer vision, and clinical AI evaluationPublishing and presenting the results of AI development and translation in peer-reviewed journals and conferencesSkillsA master's degree in engineering, computer science, mathematics, health science, or a related field with 7 years of relevant experience, or a bachelor's degree with 9 years of relevant experienceExtensive (7+ years) experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an acute understanding of healthcare technologyDemonstrated leadership in managing complex projects, with a proven ability to navigate intricate project requirements and deliver successful outcomesProven success in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholdersDemonstrated expertise in cloud infrastructure environment and software development toolsExperience working with large, complex, and heterogeneous data sets, preferably in healthcareStrong skills in AI/ML techniques and frameworksExpertise with best practices in data engineering, data science, AI Engineering, and the MLOps communitiesIn-depth knowledge of healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standardsDemonstrated leadership in administration, education, software development, and technical reportingExperience mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skillsA Ph.D. or other doctorate is preferredStrong expertise in AI/ML techniques and frameworks, such as deep learning, natural language processing, computer vision, multimodal AI, representation learning, and Generative AI, with proficiency in tools like Python, TensorFlow, PyTorch, sci-kit-learn, Keras, etcExperience with healthcare industry informatics standards, best practices, and common data models. Participation in national or international standards organizations or other domain-specific professional organizations, or extensive implementation experience with common data, development, and deployment standardsExcellent communication, collaboration, and stakeholder management skills, with the ability to effectively engage with diverse stakeholders and translate complex technical concepts and results to non-technical audiencesDemonstrated experience leading technical/quantitative teams in a regulated environmentFamiliarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenariosDemonstrated experience creating risk management files and verification/validation strategies for digital health technology products within the healthcare industryDemonstrated expertise in user-centered design, human factors engineering, usability testing methodologies, and evaluation across AI product development. Ability to lead expert reviews using established usability practices and methods. Presents findings in easy-to-understand terms for the business or clinical practiceStrong problem-solving abilities, critical thinking skills, and a passion for driving innovation and positive change in healthcare through AI technologyBenefitsMedical: Multiple plan options.Dental: Delta Dental or reimbursement account for flexible coverage.Vision: Affordable plan with national network.Pre-Tax Savings: HSA and FSAs for eligible expenses.Retirement: Competitive retirement package to secure your future.100% remote workBenefits Eligible: YesCompany OverviewMayo Clinic Rochester is a hospital & health care company based out of 1025 Marsh St, Mankato, MN, United States. It was founded in undefined, and is headquartered in Mankato, MN, US, with a workforce of 201-500 employees. Its website is http://www.mayoclinichealthsystem.org. Apply To this Job