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AI Enablement Specialist(m/w/x)
Building machine learning prototypes and interactive lab environments at provider of end-to-end business application software. Master's degree in Computer Science, Data Science, or related field required. Flexible working models.
Requirements
- Strong technical hands-on experience
- Passion for enabling others to succeed with AI
- Master’s degree in computer science, Data Science, Information Systems, or related field
- Strong passion for business processes
- Good programming skills in Python or similar languages
- Experience integrating AI services
- Experience working with APIs
- Skill in designing and delivering hands-on trainings, workshops, or bootcamps
- Clear communication of complex topics (English / German)
- Proactive problem-solving
- Ability to provide practical guidance to learners
- Ability to thrive in collaborative environments
- Ability to work effectively across technical and business teams
- Ability to drive AI adoption
Tasks
- Design and lead workshops with real-world exercises
- Build AI prototypes, demos, and reference implementations
- Create interactive lab environments for safe experimentation
- Develop tutorials
- Develop implementation samples
- Create technical documentation for model integration
- Create technical documentation for prompt optimization
- Create technical documentation for best practices
- Collaborate with subject matter experts
- Ensure content reflects current AI capabilities
- Guide users implementing AI features
- Help resolve user issues
- Optimize AI solutions
- Foster communities of practice
- Promote knowledge sharing among AI practitioners
- Continuously improve learning content based on feedback
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- AI services
- APIs
Benefits
Learning & Development
- Constant learning
- Skill growth
Healthcare & Fitness
- Health and well-being focus
Flexible Working
- Flexible working models
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AI Enablement Specialist(m/w/x)
Building machine learning prototypes and interactive lab environments at provider of end-to-end business application software. Master's degree in Computer Science, Data Science, or related field required. Flexible working models.
Requirements
- Strong technical hands-on experience
- Passion for enabling others to succeed with AI
- Master’s degree in computer science, Data Science, Information Systems, or related field
- Strong passion for business processes
- Good programming skills in Python or similar languages
- Experience integrating AI services
- Experience working with APIs
- Skill in designing and delivering hands-on trainings, workshops, or bootcamps
- Clear communication of complex topics (English / German)
- Proactive problem-solving
- Ability to provide practical guidance to learners
- Ability to thrive in collaborative environments
- Ability to work effectively across technical and business teams
- Ability to drive AI adoption
Tasks
- Design and lead workshops with real-world exercises
- Build AI prototypes, demos, and reference implementations
- Create interactive lab environments for safe experimentation
- Develop tutorials
- Develop implementation samples
- Create technical documentation for model integration
- Create technical documentation for prompt optimization
- Create technical documentation for best practices
- Collaborate with subject matter experts
- Ensure content reflects current AI capabilities
- Guide users implementing AI features
- Help resolve user issues
- Optimize AI solutions
- Foster communities of practice
- Promote knowledge sharing among AI practitioners
- Continuously improve learning content based on feedback
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- Python
- AI services
- APIs
Benefits
Learning & Development
- Constant learning
- Skill growth
Healthcare & Fitness
- Health and well-being focus
Flexible Working
- Flexible working models
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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