AI application engineer
Tasks
- Build RAG knowledge bases
- Build intelligent production scheduling systems
- Build intelligent quality inspection
- Build knowledge question answering systems
- Build predictive maintenance systems
- Compress models
- Conduct Proof of Concept projects
- Deploy AI models
- Design AI application systems
- Develop AI agent systems
- Ensure scalable AI operations
- Ensure system stability
- Implement centralized data platforms
- Implement model optimization solutions
- Optimize AI model performance
- Optimize quantization
- Perform rapid experimentation
- Produce experiment reports
- Produce technical documentation
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Computer Vision | Dify | Django | Docker | Faiss | FastAPI | Flask | Langchain | Language Models | Large Language Models | Linux | Llamaindex | Milvus | NumPy | Pandas | Prompt engineering | PyTorch | Python | RAG | Scikit-learn | TensorFlow | Transformers | VLLM | Vector Databases | Weaviate
Education
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