AI 工程師 (AI Engineer)
Tasks
- Build RAG pipelines integrating external knowledge sources
- Collaborate with cross-functional teams
- Create autonomous AI agents with task planning decision making and multi step reasoning
- Design, develop, and implement AI models
- Develop and deploy large language models and retrieval augmented generation systems
- Integrate optimize and deploy AI systems
- Model complex relationships using graph based AI techniques
- Optimize LLMs for specific use cases including fine tuning and prompt engineering
- Preprocess and analyze large datasets
- Research latest AI technologies and trends
- Write technical documentation
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Cloud Azure | Cloud Platforms | Cloud Platforms (AWS | Cloud platforms (AWS, Google Cloud, Azure) | Cloud platforms AWS Google Cloud | Data Embeddings | Deep learning | Deep learning frameworks | Feature Engineering | Graph Neural Networks | Knowledge graphs | LLMs | Langchain | Learning algorithms | Learning frameworks | Llamaindex | Machine Learning | Machine learning algorithms | Neural Networks | Pandas | Problem Solving | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | Teamwork | TensorFlow | Text image and multimodal data embeddings | Transformers | Vector Databases
Education
Bachelor of Science | Doctor of Philosophy | Master of Science
Roles
AI | AI Engineer | Engineer
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