Senior AIML Engineer - Finance
Senior AIML Engineer - Finance
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Job Description
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. This position will be part of a new group focused on delivering Generative AI and Forecasting solutions related to key performance metrics and indicators at Mayo Clinic within the Finance Department.
As a Senior AI/ML Engineer you may work on the full spectrum of the AI life cycle from ideation to production. You understand the clinical environment well including workflows challenges and requirements of healthcare providers and patients. You will 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. You will develop integrate and standardize software components and create maintain and follow quality system procedures. You will guide the engineering of systems that are pivotal to developing and deploying these solutions which encompass everything from design requirements development component creation verification nonclinical validation and risk mitigation to ensure our digital health technology products meet and exceed regulatory requirements and setting new benchmarks for safety and effectiveness in clinical settings. Your expertise will also extend to facilitating consistent and automated AI software solution development and releases through the design testing and maintenance of tools and associated CI/CD pipelines.
This role is instrumental in providing consultative services to departments and divisions offering insights into complex business problems. Your ability to communicate complex findings in easily understandable terms to nontechnical users will bridge the gap between sophisticated AI technologies and clinical applications.
Leading component design development integration and standardization to create AIdriven 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.
Leveraging machine learning techniques such as deep learning natural language processing computer vision large language models etc. to lead the design development and deployment of endtoend AI solutions for healthcare applications.
Establishing evaluation methodologies and performance metrics to assess AI solutions effectiveness usability and impact in realworld healthcare settings.
Explaining data analysis results to guide strategic choices and clarify complex insights for nontechnical users to connect AI technologies and clinical applications.
Overseeing the engineering of systems crucial for developing and deploying AI solutions.
Facilitating 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.
Providing mentorship guidance and technical leadership to junior engineers within the AI enablement team.
Providing consultative services on areas of expertise to clinical work units or AI product teams offering insights and strategies to address complex business problems.
Providing training and education to healthcare staff on AI tools and technologies.
Contributing to developing new AI methods and technologies that can advance the stateoftheart in healthcare AI.
*This position is 100 remote work. Individual may live anywhere in the US.
**This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position.
During the selection process you may participate in an OnDemand (prerecorded) interview that you can complete at your convenience. During the OnDemand interview a question will appear on your screen and you will have time to consider each question before responding. You will have the opportunity to rerecord your answer to each question Mayo Clinic will only see the final recording. The complete interview will be reviewed by a Mayo Clinic staff member and you will be notified of next steps.
Qualifications
A masters degree in engineering computer science mathematics health science or a related field with 4 years of experience OR a bachelors degree with 6 years of experience.
Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries showcasing an understanding of healthcare technology.
Demonstrated leadership in managing complex projects with a proven ability to navigate intricate project requirements and deliver successful outcomes.
Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to nontechnical stakeholders.
Demonstrated expertise in cloud infrastructure environment and software development tools.
Experience working with large complex and heterogeneous data sets preferably in healthcare.
Skilled in AI/ML techniques and frameworks.
Familiarity with best practices in data engineering data science AI Engineering and the MLOps communities.
Demonstrated initiative in administration education software development and technical reporting.
A commitment to mentoring and training lessexperienced team members coupled with strong interpersonal communication and time management skills.
Additional Qualifications:
A Ph.D. or other doctorate is preferred.
Strong 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 scikitlearn 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.
Demonstrated experience leading technical/quantitative teams in a regulated environment.
Demonstrated experience creating risk management files and verification/validation strategies for digital health technology products within the healthcare industry.
Strong expertise in usercentered 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 easytounderstand terms for the business or clinical practice.
Required Experience:
Senior IC
Employment Type
Full-Time
