AI/ML Engineer - Revenue Cycle Automation

Requirements

Must have:

• A master's degree in engineering, computer science, mathematics, health science, or a related field with at least 1 year of relevant experience
• Alternatively, a bachelor's degree combined with 3 years of professional experience
• Proven experience in applying AI and machine learning in production settings or heavily regulated sectors, particularly health technology
• Proficient in cloud infrastructure and software development tools
• Experience managing large, intricate data sets, ideally within the healthcare sector
• Knowledgeable in AI/ML techniques and frameworks
• Proven track record of collaborating with diverse teams while communicating complex technical ideas to non-technical audiences
• Familiar with best practices in data engineering, data science, AI Engineering, and MLOps
• Strong interpersonal, communication, and time management skills

Responsibilities:

• Design and implement comprehensive AI/ML solutions for the Revenue Cycle, focusing on agentic orchestration and predictive ML
• Establish reference architectures, design principles, and governance for AI applications within the Revenue Cycle, collaborating with enterprise architecture and security teams
• Oversee the design of advanced solutions like agentic patient portal in-basket management, integrating multiple technologies
• Build, assess, and launch ML models utilizing Python and contemporary ML libraries within Mayo Clinic's approved cloud environment
• Collaborate with delivery leads and analysts to convert Revenue Cycle opportunities into measurable AI-enhanced solutions
• Set standards for model lifecycle management, monitoring, bias and drift evaluation, and responsible AI practices in accordance with Mayo Clinic policy
• Research and evaluate new AI technologies and frameworks, advising on their integration
• Mentor fellow AI/ML engineers and contribute to the enterprise's AI community of practice

Company:

At Mayo Clinic, we are a top-ranked healthcare provider, recognized for excellence in various specialties. We prioritize patient needs while also caring for our employees through competitive salaries and comprehensive benefits packages. Our commitment to ongoing education and growth ensures that you can build a rewarding career with us. This remote position allows us to attract talent from anywhere in the US, fostering a diverse and inclusive environment across our various campuses, including locations in Arizona, Florida, and Minnesota. We are dedicated to equal employment opportunities and will consider all qualified candidates.