Dein persönlicher KI-Karriere-Agent
Internship AI-ML Engineering / GenAI & LLM Applications(m/w/x)
Building conversational interfaces and agentic workflows for AI troubleshooting and log analysis. Hands-on LLM API and agentic AI framework experience required. Flexible working hours, attractive recognition grant.
Anforderungen
- Pursuing Master's in Computer Science, Data Science, AI, or related field
- Strong Python programming skills and modern development practices
- Hands-on LLM API experience (OpenAI, Azure OpenAI, Anthropic, or similar) and prompt engineering concepts
- Practical experience with agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen, or similar)
- Understanding of agentic design patterns (ReAct, Plan-and-Execute, Reflection, Multi-Agent Collaboration, Tool Use)
- Experience building multi-agent systems or orchestrating AI agents
- Familiarity with RAG techniques and vector databases
- Experience with API integration and external tools/services
- Familiarity with NLP techniques and text analysis
- Excellent communication skills in written and spoken German and English
- Currently enrolled student for entire internship or gap year student
Aufgaben
- Develop machine learning models for anomaly detection
- Design multi-agent systems for infrastructure monitoring
- Build agentic workflows using frameworks
- Create conversational interfaces for AI troubleshooting
- Integrate LLMs for automated log analysis
- Build knowledge retrieval systems using RAG
- Design user interfaces for AI troubleshooting tools
- Experiment with ML algorithms and GenAI approaches
- Present results to stakeholders and the team
Ausbildung
- Laufendes Studium
Sprachen
- Deutsch – fließend
- Englisch – fließend
Tools & Technologien
- Python
- OpenAI
- Azure OpenAI
- Anthropic
- LangChain
- LangGraph
- CrewAI
- AutoGen
- RAG
- vector databases
Benefits
Flexibles Arbeiten
- Flexible working hours
Sonstige Zulagen
- Attractive recognition grant
Sonstige Vorteile
- Hands-on ML/AI/GenAI experience
- Work deployed in production
- Potential for full-time conversion
- Possibility of accommodation
Moderne Technikausstattung
- Work with state-of-the-art AI technologies
Mentoring & Coaching
- Mentorship from Biostatistics & Data Science
Weiterbildungsangebote
- Career development in pharmaceutical AI/ML
- Training opportunities
- Guest lectures
Lockere Unternehmenskultur
- Inclusive culture
Gratis oder Vergünstigte Mahlzeiten
- Discounted meal prices
Gesundheits- & Fitnessangebote
- Fitness studio on campus
Team Events & Ausflüge
- Online/offline student networking events
Parkplatz & Pendelvorteile
- Convenient transport connections
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Internship AI-ML Engineering / GenAI & LLM Applications(m/w/x)
Building conversational interfaces and agentic workflows for AI troubleshooting and log analysis. Hands-on LLM API and agentic AI framework experience required. Flexible working hours, attractive recognition grant.
Anforderungen
- Pursuing Master's in Computer Science, Data Science, AI, or related field
- Strong Python programming skills and modern development practices
- Hands-on LLM API experience (OpenAI, Azure OpenAI, Anthropic, or similar) and prompt engineering concepts
- Practical experience with agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen, or similar)
- Understanding of agentic design patterns (ReAct, Plan-and-Execute, Reflection, Multi-Agent Collaboration, Tool Use)
- Experience building multi-agent systems or orchestrating AI agents
- Familiarity with RAG techniques and vector databases
- Experience with API integration and external tools/services
- Familiarity with NLP techniques and text analysis
- Excellent communication skills in written and spoken German and English
- Currently enrolled student for entire internship or gap year student
Aufgaben
- Develop machine learning models for anomaly detection
- Design multi-agent systems for infrastructure monitoring
- Build agentic workflows using frameworks
- Create conversational interfaces for AI troubleshooting
- Integrate LLMs for automated log analysis
- Build knowledge retrieval systems using RAG
- Design user interfaces for AI troubleshooting tools
- Experiment with ML algorithms and GenAI approaches
- Present results to stakeholders and the team
Ausbildung
- Laufendes Studium
Sprachen
- Deutsch – fließend
- Englisch – fließend
Tools & Technologien
- Python
- OpenAI
- Azure OpenAI
- Anthropic
- LangChain
- LangGraph
- CrewAI
- AutoGen
- RAG
- vector databases
Benefits
Flexibles Arbeiten
- Flexible working hours
Sonstige Zulagen
- Attractive recognition grant
Sonstige Vorteile
- Hands-on ML/AI/GenAI experience
- Work deployed in production
- Potential for full-time conversion
- Possibility of accommodation
Moderne Technikausstattung
- Work with state-of-the-art AI technologies
Mentoring & Coaching
- Mentorship from Biostatistics & Data Science
Weiterbildungsangebote
- Career development in pharmaceutical AI/ML
- Training opportunities
- Guest lectures
Lockere Unternehmenskultur
- Inclusive culture
Gratis oder Vergünstigte Mahlzeiten
- Discounted meal prices
Gesundheits- & Fitnessangebote
- Fitness studio on campus
Team Events & Ausflüge
- Online/offline student networking events
Parkplatz & Pendelvorteile
- Convenient transport connections
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Roche Diagnostics GmbH
Branche
Healthcare
Beschreibung
Das Unternehmen setzt sich dafür ein, Krankheiten zu verhindern, zu stoppen und zu heilen, und gewährleistet den Zugang zur Gesundheitsversorgung.
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