AI Engineer (m/w/d)
Tasks
- Build document processing pipelines
- Design agent stacks
- Design rag architectures with knowledge graphs
- Develop and operate production multi agent systems
- Evaluate monitor and optimize ai system performance
- Fine tune and optimize llms and multimodal models
- Implement preprocessing entity resolution and data harmonization
- Integrate llm applications into existing systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Data Engineering | Data Pipelines | Deployment | Docker | Document processing | ETL | Entity Resolution | Fine Tuning | Graph Machine Learning | Human Feedback | Knowledge graphs | Kubernetes | LLM APIs | Langchain | Langgraph | Language Models | Large Language Models | Learning from Human Feedback | MLOps | MLflow | Machine Learning | Machine learning monitoring | Multimodal Models | Prompt engineering | Python | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Supervised Fine Tuning
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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