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

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Written by AI from the job title and company, not by Mayo Clinic School of Health Sciences, so some details may not match this job. The employer's own page has the real description.

Overview

The AI/ML Engineer - SaMD System Engineering & Design Quality at Mayo Clinic School of Health Sciences is responsible for leading the development and implementation of software as a medical device (SaMD) solutions, ensuring they meet high standards of design quality and regulatory compliance. This role involves collaborating with cross-functional teams to design and validate AI/ML algorithms that enhance patient care. The engineer will also engage in continuous improvement initiatives aimed at optimizing system performance and aligning with best practices in the field of SaMD.

Job Responsibilities

• Design and develop AI/ML algorithms for software as a medical device (SaMD) applications.
• Collaborate with various departments, including clinical, regulatory, and quality assurance teams, to ensure compliance with industry standards.
• Conduct rigorous testing and validation of AI/ML solutions to verify performance and reliability.
• Document all aspects of the system design, including requirements, design specifications, and validation reports.
• Participate in risk analysis and management activities related to software development.
• Stay updated on the latest trends and innovations in AI/ML and SaMD to ensure cutting-edge practices are applied.
• Provide mentorship and guidance to junior team members in the field of AI/ML engineering.

Qualifications

• Master's degree in Computer Science, Biomedical Engineering, or a related field; Ph.D. is preferred.
• Minimum 3-5 years of experience in AI/ML engineering, with a focus on SaMD.
• Strong understanding of regulatory requirements associated with medical device development.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch.
• Familiarity with software development lifecycles, including Agile methodology.
• Excellent analytical and problem-solving skills, along with strong communication abilities.

Technologies & Tools

This position utilizes a variety of technologies and tools to facilitate the design, development, and testing of AI/ML-based systems. Key technologies include programming environments like Python and R, data manipulation and analysis libraries such as NumPy and Pandas, machine learning frameworks including TensorFlow and Keras, as well as software development tools like Git for version control. Familiarity with cloud platforms such as AWS or Azure is also advantageous to support scalable AI/ML implementations.

Ideal Candidates

The ideal candidate for the AI/ML Engineer - SaMD System Engineering & Design Quality position possesses a robust technical background coupled with a passion for healthcare innovation. They are detail-oriented, have a strong commitment to quality and safety, and can thrive in a collaborative environment. Excellent communication skills are essential for articulating complex technical concepts to non-technical stakeholders. A proactive approach to problem-solving and an eagerness to stay abreast of industry advancements in AI/ML will further enhance their success in this role.