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

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Job Overview

The Senior AI/ML Engineer - SaMD System Engineering & Design Quality at Mayo Clinic will play a crucial role in the development and optimization of Software as a Medical Device (SaMD) solutions. This position entails using advanced machine learning techniques and AI methodologies to enhance the design quality and operational integrity of medical technology systems. The candidate will collaborate with cross-functional teams to ensure compliance with regulatory standards while driving innovative solutions that improve patient outcomes and streamline processes.

Job Responsibilities

• Develop and implement machine learning algorithms to support SaMD product development.
• Collaborate with design and engineering teams to ensure that AI/ML solutions meet quality and compliance specifications.
• Conduct thorough testing and validation of AI/ML models, ensuring robustness and reliability in varied clinical settings.
• Analyze and interpret complex data sets to enhance system performance and user experience.
• Contribute to the planning and documentation of SaMD engineering processes and design controls.
• Lead cross-disciplinary projects, providing technical guidance and leadership to junior team members.
• Stay up-to-date with the latest developments in AI/ML and regulatory requirements related to SaMD.

Qualifications

• Master's degree in Computer Science, Engineering, Data Science, or a related field.
• Minimum of 5 years of experience in AI/ML relevant to medical device engineering.
• Strong understanding of SaMD regulatory standards, including FDA and ISO requirements.
• Proficiency in programming languages such as Python, R, or Java for AI/ML applications.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Exceptional analytical and problem-solving skills demonstrated in prior roles.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Technologies & Tools

The Senior AI/ML Engineer will utilize a variety of technologies and tools to execute their duties effectively. Key tools include programming languages such as Python and R for data analysis and machine learning model development, along with machine learning frameworks like TensorFlow and PyTorch for building and training models. Additionally, databases and cloud platforms will be used for data management and deployment of AI solutions.

Ideal Candidates

The ideal candidate will possess not only a strong technical foundation but also outstanding interpersonal skills. A successful candidate should be detail-oriented, innovative, and able to work collaboratively within diverse teams. They should demonstrate a passion for leveraging technology to enhance healthcare solutions and a commitment to maintaining high standards of quality in engineering practices. Furthermore, individuals who thrive in a dynamic and evolving environment, and who are eager to contribute to meaningful advancements in medical technology, will find this role to be a perfect fit.