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Project Quality Engineer - With Ai Process Specialist
Posted on Aug. 10, 2026
- Ka, India
- 0 - 0 USD (yearly)
- Full Time
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Responsibility for
- Analyzing, collecting data, and providing accurate, documented information about the status of quality
- Verifying the correctness of quality related development results in compliance with the Quality Management Plan & authorize their release for medical devices
- Validation of compliance to basic requirements, e.g. ISO standards and regulations like Medical Device Regulation (European Union Regulation), Quality system regulation (US FDA)
- Assessment of completeness of Design history file and Device master records?- Participate in reviews as per QMS, external and internal audits
- Provide process expertise and guidance for AI-enabled products throughout the development and maintenance lifecycle.
- Assess and improve AI governance, risk management, and lifecycle management processes to ensure effectiveness and compliance.
- Review AI-related documentation and evidence to support product releases, regulatory submissions, audits, and technical file updates.
- Facilitate alignment of AI development activities with applicable quality, regulatory, and organizational requirements.
- Product risk management & non-product software validation processes for medical devices
- Creation and maintenance of technical file/summary technical documentation (STED)
- Medical device development (including SW) and Software engineering best practices
- Agile methods / TIR45
- Experienced in end-to-end AI lifecycle processes, including data management, model development, validation, deployment, monitoring, and change management.
- Supports teams in implementing AI governance practices, documentation requirements, and lifecycle controls for AI-enabled products.
- Reviews AI-related assessments, identified risks, performance issues, and compliance gaps, and supports appropriate corrective actions.
- Supports maintenance of AI-related documentation and records to ensure audit readiness and regulatory compliance.
- Implementing ISO 9001, 13485, ISO 14971, IEC 62304 & IEC 82304 within projects
- Compliance of requirements from MDR, QSR
- Non-regulated software like Apps for Apple / Android
- Strong knowledge of AI governance frameworks, AI lifecycle management processes, and AI risk management principles.
- Knowledge of regulatory expectations for AI-enabled healthcare products across global markets, including FDA, EU, and other international regulators.
- Familiarity with AI-related standards and guidance such as ISO/IEC 42001, ISO/IEC 23894, ISO 14971, GMLP (Good Machine Learning Practice), and applicable AI regulatory frameworks.
- Understanding of how AI requirements integrate with medical device quality systems, software lifecycle processes, and regulatory documentation.
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