Associate AI/ML Engineer - AI Program at Mayo Clinic… · Rochester

Summary: Mayo Clinic Rochester is a leading healthcare organization, and they are seeking an Associate AI/ML Engineer to join their team. The role involves developing and deploying AI/ML solutions to enhance patient care and operational efficiency, collaborating with a multidisciplinary team to understand clinical needs and workflows, and participating in the full AI life cycle from ideation to production. Responsibilities: - Working on component design, development, integration, and standardization to create AI-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operations - Collaborating with a multidisciplinary team, 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 solutions - Interpreting / analyzing data to inform strategic decisions and communicate complex findings in easily understandable terms to bridge the gap between AI technologies and clinical applications - Leveraging machine learning techniques such as deep learning, natural language processing, computer vision, large language models, etc., to design, develop and deploy end-to-end AI solutions for healthcare applications - Participating in the engineering of systems crucial for developing and deploying AI solutions - Participating in consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines - Contributing to implementing the best practices and standards for AI development and deployment methodologies, tools, and platforms Required Qualifications: - A bachelor's degree in engineering, computer science, health science, or a related field - Knowledge in applying AI and machine learning in production environments, showcasing an understanding of healthcare technology - Knowledge in cloud infrastructure environment and software development tools - Skill in AI/ML techniques and frameworks - Skill in collaborating across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders - Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities - Strong interpersonal, communication, and time management skills Preferred Qualifications: - Experience in AI/ML techniques and frameworks, such as deep learning, natural language processing, and Generative AI, with proficiency in tools like Python, TensorFlow, PyTorch, sci-kit-learn, Keras, etc - Knowledge of the healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards - Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenarios - Experience in user-centered design, human factors engineering, usability testing methodologies, and evaluation across AI product development. Ability to conduct expert reviews using established usability practices and methods. Presents findings in easy-to-understand terms for the business or clinical practice - Ability to articulate complex technical concepts to diverse audiences, facilitating clear understanding and engagement from technical and non-technical stakeholders - Ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends Required Skills: AI/ML techniques, Machine learning frameworks, Python, TensorFlow, PyTorch, scikit-learn, Keras, Cloud infrastructure, Software development tools, Healthcare domain knowledge, Clinical workflows, Electronic health records, Regulatory standards, Quality engineering, MLOps