We are seeking a visionary and technically adept Edge AI Product Owner to lead the development and lifecycle management of cutting-edge Edge AI solutions in the MedTech domain. This role requires a ...
We are seeking a visionary and technically adept Edge AI Product Owner to lead the development and lifecycle management of cutting-edge Edge AI solutions in the MedTech domain. This role requires a ...
We are seeking a visionary and technically adept Edge AI Product Owner to lead the development and lifecycle management of cutting-edge Edge AI solutions in the MedTech domain. This role requires a ...
We are seeking a visionary and technically adept Edge AI Product Owner to lead the development and lifecycle management of cutting-edge Edge AI solutions in the MedTech domain. This role requires a ...
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Adept Ai information
What is the difference between Adept Ai vs Data Scientist?
| Aspect | Adept Ai | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires AI, machine learning, or software engineering background | Requires degrees in computer science, statistics, or related fields, often with certifications in data analysis |
| Work Environment | Tech companies, AI startups, software development teams | Research institutions, tech firms, finance, healthcare |
| Industry Usage | Developing AI tools, automation, machine learning applications | Data analysis, predictive modeling, data-driven decision making |
While Adept Ai focuses on building and deploying AI systems and automation tools, Data Scientists analyze data to extract insights and develop models. Both roles require technical expertise but differ in their primary focus: AI development versus data analysis.
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Full-time
Posted 12 days ago
Job description
Job Description: Edge AI Product Owner - Medical Devices & AI
Experience Level: 5-8 Years
Department: Product, Data and AI Engineering
About the Role:
We are seeking a visionary and technically adept Edge AI Product Owner to lead the development and lifecycle management of cutting-edge Edge AI solutions in the MedTech domain. This role requires a deep understanding of medical device compliance, AI technologies, and product strategy to deliver impactful and regulatory-compliant solutions.
Key Responsibilities:
- Define and drive the product vision, roadmap, and strategy for Edge AI-enabled medical devices.
- Collaborate with cross-functional teams including engineering, clinical, regulatory, and quality to ensure product alignment and compliance.
- Oversee the development and integration of computer vision and video-based AI algorithms into edge devices.
- Ensure adherence to SaMD classification, regulatory frameworks (e.g., FDA, MDR), and quality processes.
- Lead verification and validation planning and execution for Edge AI products.
- Gather and prioritize customer and stakeholder requirements to inform product decisions.
- Communicate product goals, progress, and risks effectively to internal and external stakeholders.
- Support test data validation and performance evaluation of AI models deployed on edge devices.
Required Qualifications:
- Bachelor's or Master's degree in Engineering, Computer Science, Biomedical Engineering, or related field.
- 5-8 years of experience in product management or ownership, preferably in medical devices or healthcare technology.
- Strong understanding of Edge AI systems, including device architecture, model deployment, and performance optimization.
- Experience with computer vision and video-based AI technologies.
- Familiarity with SaMD regulations, ISO 13485, IEC 62304, and related standards.
- Proven track record in managing regulated software products through the full product lifecycle.
- Excellent verbal and written communication skills.
- Experience with agile methodologies and product management tools.
Preferred Skills:
- Experience with surgical AI applications and edge device integration.
- Knowledge of risk management processes (ISO 14971, 510).
- Familiarity with cloud platforms (AWS, Azure) and CI/CD pipelines.
- Understanding of data privacy and cybersecurity standards in healthcare.
Experience Level: 5-8 Years
Department: Product, Data and AI Engineering
About the Role:
We are seeking a visionary and technically adept Edge AI Product Owner to lead the development and lifecycle management of cutting-edge Edge AI solutions in the MedTech domain. This role requires a deep understanding of medical device compliance, AI technologies, and product strategy to deliver impactful and regulatory-compliant solutions.
Key Responsibilities:
- Define and drive the product vision, roadmap, and strategy for Edge AI-enabled medical devices.
- Collaborate with cross-functional teams including engineering, clinical, regulatory, and quality to ensure product alignment and compliance.
- Oversee the development and integration of computer vision and video-based AI algorithms into edge devices.
- Ensure adherence to SaMD classification, regulatory frameworks (e.g., FDA, MDR), and quality processes.
- Lead verification and validation planning and execution for Edge AI products.
- Gather and prioritize customer and stakeholder requirements to inform product decisions.
- Communicate product goals, progress, and risks effectively to internal and external stakeholders.
- Support test data validation and performance evaluation of AI models deployed on edge devices.
Required Qualifications:
- Bachelor's or Master's degree in Engineering, Computer Science, Biomedical Engineering, or related field.
- 5-8 years of experience in product management or ownership, preferably in medical devices or healthcare technology.
- Strong understanding of Edge AI systems, including device architecture, model deployment, and performance optimization.
- Experience with computer vision and video-based AI technologies.
- Familiarity with SaMD regulations, ISO 13485, IEC 62304, and related standards.
- Proven track record in managing regulated software products through the full product lifecycle.
- Excellent verbal and written communication skills.
- Experience with agile methodologies and product management tools.
Preferred Skills:
- Experience with surgical AI applications and edge device integration.
- Knowledge of risk management processes (ISO 14971, 510).
- Familiarity with cloud platforms (AWS, Azure) and CI/CD pipelines.
- Understanding of data privacy and cybersecurity standards in healthcare.
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