Position Summary

1. Develop and implement algorithms and data for performing complex tasks, such as learning, reasoning, and decision-making based on knowledge.
2. Develop knowledge expression and inference software required for artificial intelligence applications like natural language processing and information searching in computer vision.
3. Enable the AI system to manage and utilize knowledge in various domains using knowledge expression methods such as frames, semantic networks, and ontology.

Role and Responsibilities

1. [Natural Language Processing] Understand and stay updated on the latest trends and research findings in the field of NLP, while also conducting the development of cutting-edge technologies, models, and algorithms. 2. [Statistical analysis and machine learning] Conduct the development of advanced statistical techniques and the latest machine learning algorithms. 3. [Knowledge Graph] Proceed with the construction of knowledge graphs that can perform knowledge integration, inference, and query processing at an advanced level. 4. [Algorithmic inference] Develop an advanced inference algorithms, which is based on probabilistic reasoning and Bayesian modeling. 5. [Data Mining] Carry out the development of advanced data mining techniques in order to build complex data analysis and prediction models. 6. [Programming and Software development] Conduct the design and development of a large-scale software using various programming languages.

Skills and Qualifications

Role and Responsibilities
- Development of Health Insight framework (HIF) for Gen AI Health Y2024 Project.
- LLM Evaluation metrics development 
- Health Vector DB development
- RAG pipeline optimization for HIF
- Communicating with SRA team for current status, and technical blockers  
- Productization of HIF in Samsung Health application
- Research and publications on Project related technologies

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