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Mô Tả Công Việc
Develop and fine-tune Large Language Models (LLMs) to enhance Ensa's interaction capabilities and information delivery.
Develop algorithms for personalizing investment experiences, predicting market trends, and optimizing investment portfolios for individual investors.
Integrate and maintain a financial knowledge base for RAG, ensuring Ensa stays updated with the latest market information.
Conduct research on market trends, historical data, and user preferences to enhance Ensa's recommendation capabilities.
Work on MLOps to deploy and maintain machine learning models in a production environment.
Stay updated with the latest advancements in AI, NLP, quantitative trading.
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Yêu Cầu Công Việc
Strong problem-solving skills with a focus on product development (mandatory).
Experience with Large Language Models and building recommendation systems is highly advantageous.
Experience in implementing and optimizing Retrieval-Augmented Generation (RAG) systems.
Robust programming skills in Python and PyTorch.
Strong problem-solving abilities and a keen interest in uncovering patterns and insights within data.
A drive to continuously learn and master new technologies and methodologies (mandatory).
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Hình thức
Full-time
Quyền Lợi
Fastest growing fintech startup with state-of-the-arts technology.
Top notch engineering team.
Competitive salary with regular review and advancement.
Opportunity to take charge of your own works and directly contribute to company products.
Small, young and close-knit team. We move fast, work hard and play hard.
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