Senior Data Scientist - LLM & AI Automation (m/f/nb)
Conrad Electronic SEBerlin, DeutschlandVor 27 Tagen veröffentlicht
HybridVollzeitSenior
PythonGoAPIRustREST
Company Overview
Firma: Conrad Electronic Group
Responsibilities
- Work in an international delivery team that builds world-class Machine learning models for Conrad Group
- Take ownership of implementing ML models to improve real-time customers and partners experience
- Contribute to the impact of AI at Conrad by enabling data-driven decision support
- Define and continuously optimize your models using KPIs
- Develop and deploy AI-powered automation workflows combining traditional ML with modern LLM capabilities
- Implement RAG systems using cloud AI platforms and integrate them with existing data infrastructure
- Create proof-of-concepts for AI use cases identified across the organization
Requirements
- M.Sc. (or Ph.D.) in statistics, math, computer science, or relevant Hands-on experience
- 3+ years of practical experience as a Data Scientist
- Proven track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
- Experience in communicating your findings and recommendations to technical and non-technical stakeholders
- Good understanding of Python and its ecosystem, especially frameworks oriented to data science such as NumPy, Pandas, Scikit-learn
- Experience with vector embeddings, retrieval-augmented generation (RAG) techniques, and integration with vector stores (e.g., FAISS, Pinecone, AlloyDB)
- Experience with prompt engineering with different LLM providers, experience with few shot learning and LLM grounding
- Experience with designing and implementing multi agent systems with python libraries such as LangChain, LangGraph, LlamaIndex or non-code such as n8n, Zapier or Make
Benefits
- Flexible work arrangements with hybrid working options
- On-site child daycare center
- Peer-level communication in a family-run business
- Comprehensive health and fitness programs
Unternehmen
Conrad Electronic SEEckdaten
AnstellungVollzeit
ErfahrungSenior
Arbeitsmodell
ArbeitsmodellHybrid
StandortBerlin, Deutschland
Aufrufe1
Sprachanforderungen
Deutsch
Englisch