AI-ML Engineer - Finance-Hybrid

City: Rochester
State: MN
Remote: No
Department: Finance

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

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.

Responsibilities

This is a hybrid position and must be located within 100 miles of any of the Mayo Clinic campuses for on-site expectations based on business needs. This role sits within Financial and Accounting Services, and this group is primarily focused on time series analytics and Generative AI Solutions tailored for finance applications, not clinical.

• AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer sciences. They work closely with a multidisciplinary team, including clinicians, user experience designers, product managers, IT professionals, and external partners, to develop and deploy effective, efficient, and ethical AI/ML solutions into clinical practice to enhance patient care and operational efficiency.
• Work on the full spectrum of the AI life cycle from ideation to production. Understand the clinical environment well, including workflows, challenges, and requirements of healthcare providers and patients.
• 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 are integrated smoothly into clinical processes.
• Develop, integrate, and standardize software components and create, maintain, and follow quality system procedures.
• Work on the engineering of systems that are pivotal to developing and deploying these solutions, encompassing everything from design requirements, development, component creation, verification, non-clinical validation, and risk mitigation to ensure digital health technology products meet and exceed regulatory requirements and set 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.
• Collaborate 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.
• Translate user feedback and requirements into design concepts and usability specifications for AI solutions.
• Interpret and analyze data to inform strategic decisions and communicate complex findings in easily understandable terms to bridge the gap between AI technologies and clinical applications.
• Leverage 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.
• Participate in the engineering of systems crucial for developing and deploying AI solutions.
• Contribute to implementing best practices and standards for AI development and deployment methodologies, tools, and platforms.
• Provide training and education to healthcare staff on the use of AI tools and technologies.

Qualifications

• A master’s degree in engineering, computer science, mathematics, health science, or a related field and 1 year of experience, OR a bachelor’s degree with 3 years of experience.
• Experience applying AI and machine learning in production environments or similar highly regulated or technology-focused industries, showcasing an understanding of healthcare technology.
• Skill in cloud infrastructure environment and software development tools.
• Experience working with large, complex, and heterogeneous data sets, preferably in healthcare.
• Skill in AI/ML techniques and frameworks.
• History of 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

• Expertise in delivering time series analytical models and/or agentic solutions in Copilot Studio or Google.
• A Ph.D. or other doctorate degree is preferred.
• Expertise 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.
• Expertise 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.
• Experience with healthcare industry informatics standards, best practices, and common data models.

This vacancy is not eligible for sponsorship; we will not sponsor or transfer visas for this position.

Pay

$116,043 - $142,147 / year

Schedule

• Exemption Status: Exempt
• Benefits Eligible: Yes
• Schedule: Full Time
• Hours/Pay Period: 80
• Schedule Details: Standard Days M-F
• Weekend Schedule: As Needed
• International Assignment: No

Site Description

Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives.