Associate AI/ML Engineer

Mayo Clinic is a healthcare organization seeking an Associate AI/ML Engineer to help develop, integrate, and deploy ethical AI and machine learning solutions for clinical and operational applications. The role supports the full AI lifecycle, including data analysis, software engineering, governance, validation, risk mitigation, and automated releases through CI/CD pipelines.

What you'll do:

• 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
• Supporting governance reviews under the guidance of senior team members while developing expertise in AIA requirements, review methodologies, and governance precedent
• Assisting with review documentation, stakeholder communications, issue tracking, and maintenance of governance records
• Participating in structured training, consultation, and review activities designed to build increasing independence and technical judgment
• 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

What they're looking for:

• •   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
• •   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

Benefits:

• Medical: 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.
• Flexibility of both remote and on-site work.
• Continuing education and advancement opportunities at every turn.