(Senior) AI Engineer (m/w/d)
Tasks
- Anforderungen Datenstruktur umsetzen
- Bereitstellung Produktionsreife API
- Betrieb KI Systeme
- Daten Modellintegration
- Definition Datenqualitaet Anforderungen
- Entwicklung KI Pipelines
- Entwicklung KI Systeme
- Evaluierung KI Modelle
- Implementierung Embeddings
- Integration KI Frameworks
- Integration KI Tools
- Konzeption KI Systeme
- LLM Orchestrierung
- Optimierung RAG Architekturen
- Qualitaet Performance Skalierbarkeit sicherstellen
- Regelwerk KI Nutzung Datennutzung befolgen
- Weiterentwicklung End to End KI Produkte
- Wissensreview Dokumentation Pairing
Perks/Benefits
Skills/Tech-stack
API Management | AWS | CI/CD | Cloud infrastructure | Databricks | Embeddings | FastAPI | Infrastructure as Code | Knowledge graphs | LLM orchestration | Language Models | Large Language Models | Prompt engineering | PySpark | Python | Qdrant | RAG | Snowflake | Vector Databases | Vektordatenbanken | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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