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Intern AI Engineer - Customer Journey Analytics & Data Science(m/w/x)
Developing GenAI solutions with LLMs for customer journey analytics, building scalable data pipelines on cloud platforms. Python skills and initial software development experience required. Flexible hours, mobile work.
Anforderungen
- Studies in computer science, business informatics, data science or related field
- Python skills and initial software development experience
- Experience with relational databases and cloud experience with AWS, GCP or Azure
- Experience with NLP, LangChain, LangGraph or similar frameworks and LLM experience (advantageous)
- Data engineering skills such as SQL or data pipelines (beneficial)
- Knowledge in Machine Learning (plus)
- Good English skills; German (advantage)
Aufgaben
- Develop AI and GenAI solutions using LLMs
- Utilize LangChain or LangGraph for business needs
- Support the full data science lifecycle
- Build scalable data pipelines
- Work with cloud platforms like AWS, GCP, or Azure
- Apply Unsupervised Learning to real datasets
- Visualize data insights
- Present results and exchange ideas with teams
- Coordinate with international developer teams
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- AWS
- GCP
- Azure
- NLP
- LangChain
- LangGraph
- Large Language Models
- SQL
Benefits
Attraktive Vergütung
- Attractive and fair compensation
Mentoring & Coaching
- Comprehensive mentoring and onboarding
Weiterbildungsangebote
- Personal and professional development
Flexibles Arbeiten
- Flexible working hours
- Mobile work
Sonstige Vorteile
- Apartments for students
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Intern AI Engineer - Customer Journey Analytics & Data Science(m/w/x)
Developing GenAI solutions with LLMs for customer journey analytics, building scalable data pipelines on cloud platforms. Python skills and initial software development experience required. Flexible hours, mobile work.
Anforderungen
- Studies in computer science, business informatics, data science or related field
- Python skills and initial software development experience
- Experience with relational databases and cloud experience with AWS, GCP or Azure
- Experience with NLP, LangChain, LangGraph or similar frameworks and LLM experience (advantageous)
- Data engineering skills such as SQL or data pipelines (beneficial)
- Knowledge in Machine Learning (plus)
- Good English skills; German (advantage)
Aufgaben
- Develop AI and GenAI solutions using LLMs
- Utilize LangChain or LangGraph for business needs
- Support the full data science lifecycle
- Build scalable data pipelines
- Work with cloud platforms like AWS, GCP, or Azure
- Apply Unsupervised Learning to real datasets
- Visualize data insights
- Present results and exchange ideas with teams
- Coordinate with international developer teams
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
- Deutsch – Grundkenntnisse
Tools & Technologien
- Python
- AWS
- GCP
- Azure
- NLP
- LangChain
- LangGraph
- Large Language Models
- SQL
Benefits
Attraktive Vergütung
- Attractive and fair compensation
Mentoring & Coaching
- Comprehensive mentoring and onboarding
Weiterbildungsangebote
- Personal and professional development
Flexibles Arbeiten
- Flexible working hours
- Mobile work
Sonstige Vorteile
- Apartments for students
Über das Unternehmen
BMW Group
Branche
Automotive
Beschreibung
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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