Mayo Clinic · 7 hours ago
Senior AI-ML Engineer - CDH - Remote
55901
Full-time
Remote
Senior Level
$135K/yr - $196K/yr
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Responsibilities
Leading 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.
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 end-to-end AI solutions for healthcare applications.
Establishing evaluation methodologies and performance metrics to assess AI solutions' effectiveness, usability, and impact in real-world healthcare settings.
Explaining data analysis results to guide strategic choices and clarify complex insights for non-technical 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 state-of-the-art in healthcare AI.
Qualification
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Required
Understanding of the clinical environment, including workflows, challenges, and requirements of healthcare providers and patients.
Experience with advanced techniques in AI/ML to analyze healthcare data.
Ability to develop AI solutions that meet clinical needs and integrate into clinical processes.
Experience in developing, integrating, and standardizing software components.
Ability to create, maintain, and follow quality system procedures.
Experience in guiding the engineering of systems for developing and deploying AI solutions.
Knowledge of design requirements, development, component creation, verification, non-clinical validation, and risk mitigation.
Expertise in facilitating consistent and automated AI software solution development and releases.
Ability to communicate complex findings in easily understandable terms to non-technical users.
Experience in leading component design, development, integration, and standardization for AI-driven solutions.
Ability to collaborate with a multidisciplinary team to understand user needs and assess feasibility.
Experience leveraging machine learning techniques such as deep learning, natural language processing, computer vision, and large language models.
Ability to establish evaluation methodologies and performance metrics for AI solutions.
Experience overseeing the engineering of systems crucial for developing and deploying AI solutions.
Contributing to implementing best practices and standards for AI development and deployment methodologies, tools, and platforms.
Providing mentorship, guidance, and technical leadership to junior engineers.
Providing consultative services on areas of expertise to clinical work units or AI product teams.
Providing training and education to healthcare staff on AI tools and technologies.
Contributing to developing new AI methods and technologies that can advance the state-of-the-art in healthcare AI.
Preferred
Considerable experience in quality engineering / quality assurance role.
Comfortable reporting to all levels of management.
Experience with software defect lifecycle and defect tracking systems.
Experience planning, leading, and executing software verification and validation activities.
Capable of distinguishing and instructing in different types of software tests (functional, performance, stress/stability, memory leak, negative testing, integration, system, GUI)
Comfortable facilitating beta and customer acceptance testing.
Capable of creating test jigs and harnesses as needed.
Company
Mayo Clinic
MayoClinic is a nonprofit medical practice and medical research group focused on integrated health care, education, and research.
Founded in 1964
10001+ employees
H1B Sponsorship
Mayo Clinic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (373)
2022 (524)
2021 (408)
2020 (537)
Funding
Current Stage
Late StageTotal Funding
$398.1MKey Investors
National Institute of Neurological Disorders and StrokeAmerican Heart AssociationJay Alix
2024-09-24Grant· $12M
2023-07-26Grant
2019-10-31Grant· $15M
Leadership Team
Gianrico Farrugia
President & CEO
John Noseworthy
President & CEO
Recent News
Company data provided by crunchbase
