AutoScout24
Principal Data Scientist(m/w/x)
Full-timeOn-siteSenior
München
from USD 80,000 - 100,000 / year
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AUAutoScout24
Principal GenAI Data Scientist(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Designing and building agentic GenAI systems for a digital automotive marketplace. Production experience with agentic GenAI systems and RAG architectures required. Direct impact on product strategy within a high-growth environment.
Requirements
- Degree in computer science, data science, engineering, or related field
- Experience building agentic GenAI systems in production
- Strong coding skills in Python
- Practical experience with RAG pipelines, vector databases, embeddings, or fine-tuning workflows
- Strong understanding of common challenges in AI development
- Experience deploying AI systems in a cloud environment
- Familiarity with MLOps, prompt engineering, or LLM-based application design
- Ability to explain complex AI topics clearly
- High motivation and ownership mentality
- Fluency in English; German is a plus
Tasks
- Design and build agentic GenAI systems using modern frameworks
- Translate product needs into scalable AI solutions
- Deliver production-ready implementations
- Develop and maintain knowledge integration pipelines
- Implement RAG architectures and custom model fine-tuning
- Utilize vector search and grounding methods for context
- Define evaluation strategies and build ground-truth datasets
- Create automated test and monitoring setups
- Ensure stable long-term model performance
- Proactively detect issues like drift or hallucination
- Collaborate with engineering, data, and product teams
- Integrate AI components into platforms and workflows
- Design clean APIs and robust pipelines
- Establish scalable deployment patterns
- Mentor peers on GenAI topics and best practices
- Guide solution architecture and coding standards
- Drive observability and documentation efforts
- Experiment with new tools, models, and architectures
- Identify high-impact AI opportunities
- Build prototypes for production-ready solutions
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- LangChain
- AutoGen
- Atomic Agents
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of AutoScout24 and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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AUAutoScout24
Principal GenAI Data Scientist(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Designing and building agentic GenAI systems for a digital automotive marketplace. Production experience with agentic GenAI systems and RAG architectures required. Direct impact on product strategy within a high-growth environment.
Requirements
- Degree in computer science, data science, engineering, or related field
- Experience building agentic GenAI systems in production
- Strong coding skills in Python
- Practical experience with RAG pipelines, vector databases, embeddings, or fine-tuning workflows
- Strong understanding of common challenges in AI development
- Experience deploying AI systems in a cloud environment
- Familiarity with MLOps, prompt engineering, or LLM-based application design
- Ability to explain complex AI topics clearly
- High motivation and ownership mentality
- Fluency in English; German is a plus
Tasks
- Design and build agentic GenAI systems using modern frameworks
- Translate product needs into scalable AI solutions
- Deliver production-ready implementations
- Develop and maintain knowledge integration pipelines
- Implement RAG architectures and custom model fine-tuning
- Utilize vector search and grounding methods for context
- Define evaluation strategies and build ground-truth datasets
- Create automated test and monitoring setups
- Ensure stable long-term model performance
- Proactively detect issues like drift or hallucination
- Collaborate with engineering, data, and product teams
- Integrate AI components into platforms and workflows
- Design clean APIs and robust pipelines
- Establish scalable deployment patterns
- Mentor peers on GenAI topics and best practices
- Guide solution architecture and coding standards
- Drive observability and documentation efforts
- Experiment with new tools, models, and architectures
- Identify high-impact AI opportunities
- Build prototypes for production-ready solutions
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- LangChain
- AutoGen
- Atomic Agents
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of AutoScout24 and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
AutoScout24
Industry
Other
Description
The company is a high-growth organization in the digital automotive marketplace.
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