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Top 3 reasons to join us
- Competitive salary and bonus
- Young and innovative working environment
- Work with the brightest minds
Job description
- 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.
Your skills and experience
- 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).
Why you'll love working here
- 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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DNSE
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MAKE YOU INVESTED @ DNSE
Company type
IT Product
Company industry
Financial Services
Company size
151-300
employees
Country
Vietnam
Working days
Monday - Friday
Overtime policy
No OT
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