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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.
Requirements
- 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.
Tasks
- 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
Work Experience
- 4 - 7 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- pandas
- scikit‑learn
- TensorFlow
- PyTorch
- Hugging Face
- LangChain
- LlamaIndex
- Azure
- AWS
- Databricks
Benefits
Flexible Working
- Flexible hours
- Work-from-home options from Austria
- 30 days/year remote work from EU
Informal Culture
- 75+ nationalities
- English company language
Other Benefits
- Work permit support
Learning & Development
- Continuous learning
- Training attendance
Career Advancement
- Proactive career development
Diverse Work
- Challenging work
Modern Equipment
- Use of new technologies
Free or Subsidized Food
- Subsidized canteen
Mental Health Support
- Well-being programs
Healthcare & Fitness
- Check-ups
- Sport allowances
Corporate Discounts
- Discounts
- Exclusive banking terms
Public Transport Subsidies
- Subsidized public transport pass
Additional Allowances
- Child allowances
- Financial support for restaurant
Generous Parental Leave
- Gender-neutral parental leave
Childcare
- Bilingual company kindergarten
- Holiday childcare
- Home
- Jobs in Austria
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- Home
- Jobs in Austria
- ML Enablement & GenAI EducatorML Enablement & GenAI Educator at Raiffeisen Bank Interna...
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.
Requirements
- 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.
Tasks
- 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
Work Experience
- 4 - 7 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- pandas
- scikit‑learn
- TensorFlow
- PyTorch
- Hugging Face
- LangChain
- LlamaIndex
- Azure
- AWS
- Databricks
Benefits
Flexible Working
- Flexible hours
- Work-from-home options from Austria
- 30 days/year remote work from EU
Informal Culture
- 75+ nationalities
- English company language
Other Benefits
- Work permit support
Learning & Development
- Continuous learning
- Training attendance
Career Advancement
- Proactive career development
Diverse Work
- Challenging work
Modern Equipment
- Use of new technologies
Free or Subsidized Food
- Subsidized canteen
Mental Health Support
- Well-being programs
Healthcare & Fitness
- Check-ups
- Sport allowances
Corporate Discounts
- Discounts
- Exclusive banking terms
Public Transport Subsidies
- Subsidized public transport pass
Additional Allowances
- Child allowances
- Financial support for restaurant
Generous Parental Leave
- Gender-neutral parental leave
Childcare
- Bilingual company kindergarten
- Holiday childcare
About the Company
Raiffeisen Bank International
Industry
FinancialServices
Description
The company is committed to providing an excellent customer experience and values diversity and inclusion in its workforce.
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