Software and AI Product Assessor
hace 1 semana
At SGS, we are seeking a highly skilled Software and AI Product Assessor to join our team. As a key member of our team, you will be responsible for conducting thorough technical documentation reviews of SaMD and devices using AI/Machine Learning (ML) and ensuring compliance with EU regulations and standards.
Key Responsibilities:- Conduct technical documentation reviews of SaMD and devices using AI/Machine Learning (ML) and ensure compliance with EU regulations and standards.
- Collaborate with cross-functional teams to increase efficiency and quality.
- Develop and present training to others in SGS or externally as deemed necessary.
- Project manage reviews as appropriate, to maximize efficiencies, enhance client satisfaction and ensure compliance with standards.
- Support/assist on queries raised from the review.
- Work at all times to adhere to KPI's set as an individual and within a team.
- Ensure personal competency is maintained to be able to review technical files and technical documentation.
- Ensure that the highest level of service is provided throughout the SGS network offering medical devices certification and stakeholders through efficient service delivery.
- Bachelor's degree in a related discipline (i.e., engineering, or other relevant sciences).
- Four years of professional experience in the field of healthcare products or related activities, such as design, manufacturing, auditing, or research, of which two years shall be in developing SaMD demonstrating knowledge of one or more programming languages (preferable in MDSW or other critical software requiring compliance with regulations) and AI/ML models in specific industry/academic research.
- Thorough knowledge and understanding of the Software Life Cycle processes: requirement analysis, design and coding, configuration management including version and change control, testing including unit, integration, regression and system testing, validation and release, and problem resolution techniques including debugging techniques, root cause analysis and code reviews.
- Knowledge and understanding of the related standards: IEC 62304, IEC 82304, IEC 81001-5-1, IEC 62366, etc...
- Thorough knowledge and understanding of AI regulations, released standards/guidance and AI/ML tools/libraries.
- Good written English skills (as reports will be reviewed/queried in English).
- Knowledge of the following Technical File codes desirable (COMMISSION IMPLEMENTING REGULATION (EU) 2017/2185 of 23 November 2017) MDS1009 and MDS0315.
At SGS, we offer a dynamic and supportive work environment, with opportunities for continuous learning and growth. We value diversity and provide endless opportunities to learn, grow your expertise, and fulfill your potential. Join our team and be part of a globally recognized and stable company, a leader in the Testing, Inspection, and Certification (TIC) industry.
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