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MÔ TẢ CÔNG VIỆC
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- Build an LLM-powered insights system with a RAG pipeline to provide real-time logistics information.
- Develop predictive ETA models using XGBoost/LightGBM.
- Build and maintain ETL/ELT pipelines from historical shipment data.
- Develop high-performance APIs with FastAPI for frontend applications.
- Implement Explainable AI (XAI) to make AI predictions easy to understand.
- Collaborate with product, frontend, and platform teams to deploy real-world solutions.
QUYỀN LỢI
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- Offer negotiation.
- Bonus: 1~10 million anyone for referring acquaintances and friends to the company
- Working in a large and modern system, having the opportunity to enhance comprehensive technical skills
- Become a Key Person of Project Influence, a Leader as well as a Project Manager.
- Participate in staff engagement activities such as Game Online (Half-Life, AOE, Dota2, LOL, Pubg...), Team Building,
- Having many opportunities to promote based on personal ability and range of salary.
- Accessing to various projects and the latest technology
- Taking part in many courses such as AWS, Microservice, English, Japanese...
YÊU CẦU
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- A strong track record as a Machine Learning Engineer or Data Scientist with significant software engineering skills.
- Mastery of Python and its core data science and ML ecosystem (e.g., pandas, scikit-learn, numpy).
- Hands-on experience building applications with Large Language Models, specifically implementing Retrieval-Augmented Generation (RAG) pipelines and working with vector databases.
- Strong experience with gradient boosting models (XGBoost, LightGBM) and other regression/classification techniques.
- Demonstrable experience building and deploying production-ready APIs, with a strong preference for FastAPI.
- Proficiency in querying and managing data in large-scale data stores, specifically Elasticsearch. Experience with data lakes and building ETL/ELT pipelines is essential.
- You are passionate about translating complex business problems into concrete, data-driven technical solutions.
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