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.AI Trust Innovation Technologist(m/w/x)
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
- Home
- Jobs in Austria
- .AI Trust Innovation Technologist.AI Trust Innovation Technologist at SGS
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- Home
- Jobs in Austria
- .AI Trust Innovation Technologist.AI Trust Innovation Technologist at SGS
.AI Trust Innovation Technologist(m/w/x)
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
About the Company
SGS
Industry
IT
Description
Das Unternehmen ist das weltweit führende Unternehmen in den Bereichen Prüfen, Inspizieren und Zertifizieren.
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