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 ...
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Ai Job information
See salary details
$44.71 - $47.16
1% of jobs
$47.16 - $49.61
6% of jobs
$49.61 - $52.05
12% of jobs
$53.74 is the 25th percentile. Wages below this are outliers.
$52.05 - $54.50
9% of jobs
$54.50 - $56.95
6% of jobs
$56.95 - $59.40
7% of jobs
$59.40 - $61.84
6% of jobs
The median wage is $62.66 / hr.
$61.84 - $64.29
6% of jobs
$64.29 - $66.74
7% of jobs
$68.20 is the 75th percentile. Wages above this are outliers.
$66.74 - $69.19
22% of jobs
$69.19 - $71.63
16% of jobs
$44
$61
$71
How much do ai job jobs pay per hour?
As of Jul 7, 2026, the average hourly pay for ai job in the United States is $61.40, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $68.27 per hour, depending on experience, location, and employer.
What is the difference between Ai Job vs Data Analyst?
| Aspect | Ai Job | Data Analyst |
|---|---|---|
| Required Credentials | Degree in Computer Science, AI, or related fields; certifications in AI/ML | Degree in Statistics, Mathematics, or related fields; certifications in data analysis |
| Work Environment | Tech companies, research labs, AI startups | Business, finance, healthcare, and other industries |
| Employer & Industry Usage | Primarily in tech and AI-focused industries | Across various sectors needing data insights |
| Common Search & Comparison | Yes | Yes |
Ai Jobs focus on developing and implementing artificial intelligence models, requiring skills in machine learning and programming. Data Analysts interpret data to provide business insights, often using statistical tools. While both roles work with data, Ai Jobs are more technical and research-oriented, whereas Data Analysts focus on data interpretation and reporting across diverse industries.
What is a $900000 AI job?
A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and may involve leadership responsibilities or specialized expertise in areas like deep learning or natural language processing.
What kind of jobs can I get in AI?
Jobs in AI include roles such as AI engineer, machine learning engineer, data scientist, NLP engineer, and AI researcher. These positions typically require skills in programming, data analysis, and understanding of algorithms, often using tools like Python, TensorFlow, or PyTorch, and may require relevant certifications or advanced degrees.
Which 3 jobs will survive AI?
AI jobs such as data scientists, AI specialists, and machine learning engineers are expected to persist because they involve designing, developing, and managing AI systems that require advanced technical skills and human oversight. These roles demand creativity, complex problem-solving, and domain expertise that are difficult for AI to fully replicate. Additionally, jobs in healthcare, education, and skilled trades are likely to remain resilient due to the need for human interaction and specialized knowledge.
Is AI a high paid job?
AI jobs, such as AI engineer or data scientist, are generally among the higher-paying roles in the tech industry due to the specialized skills required, including programming, machine learning, and data analysis. Salaries vary based on experience, location, and company, but these roles often offer competitive compensation compared to other tech positions.
What cities are hiring for Ai Job jobs? Cities with the most Ai Job job openings:
What are the most commonly searched types of Ai Job jobs? The most popular types of Ai Job jobs are:
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Full-time
Re-posted 24 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.
About Codvo
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