Dein persönlicher KI-Karriere-Agent
ML Enablement & GenAI Educator(m/w/x)
Designing and delivering AI/ML courses with hands-on coding for banking use cases. Several years of Data Science, ML, or AI experience required. Flexible hours, 30 days EU remote work, 75+ nationalities.
Anforderungen
- Several years of professional experience (typically 4–7 years) in Data Science, Machine Learning, or AI, with hands‑on exposure across classical ML, NLP, and Generative AI.
- Ability to make complex AI topics understandable and engaging for technical and non‑technical audiences, through workshops, coaching, and hands‑on support.
- Experience designing and delivering practical training formats relevant, accessible, and valuable across different skill levels.
- Proficiency in Python and regular use of common ML and AI frameworks (e.g. pandas, scikit‑learn, TensorFlow/PyTorch, Hugging Face, LangChain, LlamaIndex).
- Practical experience working with LLM‑based solutions, including prompting approaches, RAG pipelines, and agent‑based architectures.
- Clear and engaging communication style, with ability to bring structure, clarity, and momentum to complex subjects. Professional working proficiency in English required.
- Experience applying adult‑learning or andragogy principles in training or enablement contexts.
- Familiarity with cloud environments (Azure and/or AWS) and exposure to DevOps/MLOps concepts; experience with Databricks is an advantage.
- German language skills.
Aufgaben
- Design and deliver tailored courses on AI, Machine Learning, and Data Science
- Develop hands-on coding examples for real banking use cases
- Create engaging learning materials including notebooks, course plans, and assessments
- Coach and mentor learners from beginner to advanced levels
- Research and experiment with emerging AI technologies
- Collaborate with data scientists and subject matter experts
- Contribute to a library of reusable GenAI and ML solution guides
- Collect and analyze feedback to improve training programs
- Advocate for new Advanced Analytics and AI strategies
- Foster knowledge sharing and build an engaged learning culture
Berufserfahrung
- 4 - 7 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- pandas
- scikit‑learn
- TensorFlow
- PyTorch
- Hugging Face
- LangChain
- LlamaIndex
- Azure
- AWS
- Databricks
Benefits
Flexibles Arbeiten
- Flexible hours
- Work-from-home options from Austria
- 30 days/year remote work from EU
Lockere Unternehmenskultur
- 75+ nationalities
- English company language
Sonstige Vorteile
- Work permit support
Weiterbildungsangebote
- Continuous learning
- Training attendance
Karriere- und Weiterentwicklung
- Proactive career development
Abwechslungsreiche Aufgaben
- Challenging work
Moderne Technikausstattung
- Use of new technologies
Gratis oder Vergünstigte Mahlzeiten
- Subsidized canteen
Mentale Gesundheitsförderung
- Well-being programs
Gesundheits- & Fitnessangebote
- Check-ups
- Sport allowances
Mitarbeiterrabatte
- Discounts
- Exclusive banking terms
Öffi Tickets
- Subsidized public transport pass
Sonstige Zulagen
- Child allowances
- Financial support for restaurant
Großzügige Elternzeit
- Gender-neutral parental leave
Kinderbetreuung
- Bilingual company kindergarten
- Holiday childcare
- Home
- Jobs in Österreich
- Wien
- ML Enablement & GenAI EducatorML Enablement & GenAI Educator bei Raiffeisen Bank Intern...
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- Home
- Jobs in Österreich
- Wien
- ML Enablement & GenAI EducatorML Enablement & GenAI Educator bei Raiffeisen Bank Intern...
ML Enablement & GenAI Educator(m/w/x)
Designing and delivering AI/ML courses with hands-on coding for banking use cases. Several years of Data Science, ML, or AI experience required. Flexible hours, 30 days EU remote work, 75+ nationalities.
Anforderungen
- Several years of professional experience (typically 4–7 years) in Data Science, Machine Learning, or AI, with hands‑on exposure across classical ML, NLP, and Generative AI.
- Ability to make complex AI topics understandable and engaging for technical and non‑technical audiences, through workshops, coaching, and hands‑on support.
- Experience designing and delivering practical training formats relevant, accessible, and valuable across different skill levels.
- Proficiency in Python and regular use of common ML and AI frameworks (e.g. pandas, scikit‑learn, TensorFlow/PyTorch, Hugging Face, LangChain, LlamaIndex).
- Practical experience working with LLM‑based solutions, including prompting approaches, RAG pipelines, and agent‑based architectures.
- Clear and engaging communication style, with ability to bring structure, clarity, and momentum to complex subjects. Professional working proficiency in English required.
- Experience applying adult‑learning or andragogy principles in training or enablement contexts.
- Familiarity with cloud environments (Azure and/or AWS) and exposure to DevOps/MLOps concepts; experience with Databricks is an advantage.
- German language skills.
Aufgaben
- Design and deliver tailored courses on AI, Machine Learning, and Data Science
- Develop hands-on coding examples for real banking use cases
- Create engaging learning materials including notebooks, course plans, and assessments
- Coach and mentor learners from beginner to advanced levels
- Research and experiment with emerging AI technologies
- Collaborate with data scientists and subject matter experts
- Contribute to a library of reusable GenAI and ML solution guides
- Collect and analyze feedback to improve training programs
- Advocate for new Advanced Analytics and AI strategies
- Foster knowledge sharing and build an engaged learning culture
Berufserfahrung
- 4 - 7 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- pandas
- scikit‑learn
- TensorFlow
- PyTorch
- Hugging Face
- LangChain
- LlamaIndex
- Azure
- AWS
- Databricks
Benefits
Flexibles Arbeiten
- Flexible hours
- Work-from-home options from Austria
- 30 days/year remote work from EU
Lockere Unternehmenskultur
- 75+ nationalities
- English company language
Sonstige Vorteile
- Work permit support
Weiterbildungsangebote
- Continuous learning
- Training attendance
Karriere- und Weiterentwicklung
- Proactive career development
Abwechslungsreiche Aufgaben
- Challenging work
Moderne Technikausstattung
- Use of new technologies
Gratis oder Vergünstigte Mahlzeiten
- Subsidized canteen
Mentale Gesundheitsförderung
- Well-being programs
Gesundheits- & Fitnessangebote
- Check-ups
- Sport allowances
Mitarbeiterrabatte
- Discounts
- Exclusive banking terms
Öffi Tickets
- Subsidized public transport pass
Sonstige Zulagen
- Child allowances
- Financial support for restaurant
Großzügige Elternzeit
- Gender-neutral parental leave
Kinderbetreuung
- Bilingual company kindergarten
- Holiday childcare
Über das Unternehmen
Raiffeisen Bank International
Branche
FinancialServices
Beschreibung
The company is committed to providing an excellent customer experience and values diversity and inclusion in its workforce.
Noch nicht perfekt?
- Raiffeisen Bank International
Senior AI/ML Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorWienab 67.400 / Jahr - Raiffeisen Bank International
Senior AI/ML Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorWienab 67.400 / Jahr - Raiffeisen Bank International
Senior Backend Engineer GenAI Engineering Platform(m/w/x)
Vollzeitmit HomeofficeSeniorWienab 65.000 / Jahr - Raiffeisen Bank International
Solution Architect GenAI Engineering Platform(m/w/x)
Vollzeitmit HomeofficeSeniorWienab 70.000 / Jahr - Raiffeisen Bank International
Solution Architect GenAI Engineering Platform(m/w/x)
Vollzeitmit HomeofficeSeniorWienab 70.000 / Jahr