Senior AI/ML Engineer - SaMD System Engineering & Design Quality - CDH - Remote

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Overview

The Senior AI/ML Engineer - SaMD System Engineering & Design Quality at Mayo Clinic will play a pivotal role in the development and implementation of AI and machine learning solutions within software as a medical device (SaMD). This position entails leveraging advanced analytics and innovative methodologies to enhance the quality and safety of medical software. The successful candidate will collaborate with multidisciplinary teams to drive technological advancements, ensuring adherence to regulatory standards and best practices while contributing to transformational projects aimed at improving patient care.

Job Responsibilities

• Lead the design and development of AI/ML algorithms specifically for SaMD applications.
• Collaborate with cross-functional teams to implement solutions that meet clinical and operational needs.
• Conduct rigorous testing and validation of AI models to ensure compliance with healthcare regulations.
• Oversee the integration of AI technologies within existing medical systems.
• Utilize statistical analyses and predictive modeling techniques to enhance decision-making processes.
• Provide technical guidance and mentorship to junior engineers and data scientists.
• Document processes and outcomes in alignment with regulatory and quality assurance requirements.
• Stay abreast of industry trends and emerging technologies in AI and machine learning in healthcare.

Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, Electrical Engineering, or a related field.
• A minimum of 5 years of experience in AI/ML engineering, preferably within a medical device context.
• Proficient in programming languages such as Python, R, or Java.
• Strong experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with healthcare regulations and standards related to medical software (e.g., ISO 13485, IEC 62304).
• Excellent problem-solving skills and the ability to work in fast-paced environments.
• Strong communication skills with the ability to present complex ideas clearly to non-technical stakeholders.

Technologies & Tools

The Senior AI/ML Engineer will engage with a variety of technologies and tools essential for the development and validation of AI solutions within the healthcare domain. Key technologies used include programming languages such as Python and R, machine learning frameworks like TensorFlow and PyTorch, as well as data analysis tools such as Pandas and NumPy. Additionally, familiarity with cloud computing platforms (e.g., AWS, Azure) for scalable AI deployments will be crucial.

Ideal Candidates

Ideal candidates for the Senior AI/ML Engineer position possess a blend of technical expertise and a strong commitment to improving healthcare outcomes. They exhibit a strong analytical mindset, attention to detail, and the ability to navigate complex regulatory environments. A collaborative spirit and exceptional communication skills are essential, allowing candidates to effectively share insights and drive initiatives within diverse teams. A passion for innovation in medical technology will set candidates apart, enabling them to contribute meaningfully to the continual evolution of healthcare solutions at Mayo Clinic.