NXP Semiconductors Austria GmbH & Co KG
Experienced AI/ML System Security Architect(m/w/x)
Full-timeOn-siteExperienced
Gratkorn
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SGSGS
.AI Trust Innovation Technologist(m/w/x)
Graz
from 64,554 / year
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Assessing AI risks like bias and cybersecurity for global quality benchmarks. Advanced degree and 2-5 years AI/ML systems experience required. Professional growth and expertise development.
Requirements
- Advanced degree in AI, ML, Data Science, CS
- 2–5 years hands-on AI/ML systems experience
- Strong understanding of AI validation challenges
- Practical experience applying AI evaluation methods
- Experience in research-driven, startup, or R&D environments
- Translate technical AI understanding into services
- Ability to diagnose AI system behavior
- Practical experience applying AI validation approaches
- Understanding of major AI regulations and standards
- Experience assessing AI startups, tools, or research
- Innovative, systems-oriented thinker
- Collaborative, hands-on, comfortable working across environments
- Strong experimental mindset, ability to prototype
- Familiarity with AI lifecycle management and MLOps
Tasks
- Analyse emerging AI technologies and architectures
- Identify opportunities for independent validation and monitoring
- Assess AI risks including robustness, bias, explainability, and cybersecurity
- Translate AI risks into validation service opportunities
- Develop and evaluate AI validation approaches
- Interpret AI regulations and standards
- Translate technical implications into validation methods
- Engage with AI research and technology leaders
- Explore collaboration and validation opportunities
- Assess AI startups and tools for technical maturity
- Evaluate AI systems for strategic fit with SGS’s AI Trust goals
- Provide technical validation for AI-related evaluations
- Contribute to AI trust marketing and thought leadership
- Support internal education on AI trust issues
- Work cross-functionally with business and innovation teams
- Prototype and support early-stage AI trust initiatives
- Build and experiment with AI systems
Work Experience
- 2 - 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Benefits
Career Advancement
- Professional growth opportunities
Learning & Development
- Development opportunities
- Learning opportunities
- Expertise growth
Informal Culture
- Diversity value
Purpose-Driven Work
- Potential fulfillment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SGS and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SGSGS
.AI Trust Innovation Technologist(m/w/x)
Graz
from 64,554 / year
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Assessing AI risks like bias and cybersecurity for global quality benchmarks. Advanced degree and 2-5 years AI/ML systems experience required. Professional growth and expertise development.
Requirements
- Advanced degree in AI, ML, Data Science, CS
- 2–5 years hands-on AI/ML systems experience
- Strong understanding of AI validation challenges
- Practical experience applying AI evaluation methods
- Experience in research-driven, startup, or R&D environments
- Translate technical AI understanding into services
- Ability to diagnose AI system behavior
- Practical experience applying AI validation approaches
- Understanding of major AI regulations and standards
- Experience assessing AI startups, tools, or research
- Innovative, systems-oriented thinker
- Collaborative, hands-on, comfortable working across environments
- Strong experimental mindset, ability to prototype
- Familiarity with AI lifecycle management and MLOps
Tasks
- Analyse emerging AI technologies and architectures
- Identify opportunities for independent validation and monitoring
- Assess AI risks including robustness, bias, explainability, and cybersecurity
- Translate AI risks into validation service opportunities
- Develop and evaluate AI validation approaches
- Interpret AI regulations and standards
- Translate technical implications into validation methods
- Engage with AI research and technology leaders
- Explore collaboration and validation opportunities
- Assess AI startups and tools for technical maturity
- Evaluate AI systems for strategic fit with SGS’s AI Trust goals
- Provide technical validation for AI-related evaluations
- Contribute to AI trust marketing and thought leadership
- Support internal education on AI trust issues
- Work cross-functionally with business and innovation teams
- Prototype and support early-stage AI trust initiatives
- Build and experiment with AI systems
Work Experience
- 2 - 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Benefits
Career Advancement
- Professional growth opportunities
Learning & Development
- Development opportunities
- Learning opportunities
- Expertise growth
Informal Culture
- Diversity value
Purpose-Driven Work
- Potential fulfillment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SGS and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
SGS
Industry
IT
Description
Das Unternehmen ist das weltweit führende Unternehmen in den Bereichen Prüfen, Inspizieren und Zertifizieren.
Not a perfect match?
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