Stage - AI engineer - Agentic / GEN AI - F/H/N
Tasks
- Build prototype using language models and knowledge base
- Define agent roles and interactions for collaboration mechanisms
- Design multi agent system for data quality error detection
- Develop agents and RAG for data quality error resolution
- Evaluate results and identify industrialization opportunities
- Implement POC for data quality detection and remediation
Perks/Benefits
- Diversity and inclusion support
- Flexible equipment choice
- Meal vouchers
- Open source contribution time
- Parental support
- RTT
- Training opportunities
- Work from home
Skills/Tech-stack
Agent systems | Data Quality | Generative AI | Knowledge Base | LLM | Language Processing | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | Observability | Python | RAG | Retrieval-Augmented Generation
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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