Benefits

Job Description

Collaborate with the development team to enhance Ensa capabilities in understanding and responding to user queries effectively.
Utilize natural language processing techniques to improve Ensa conversational abilities and information synthesis.
Develop and implement machine learning models for analyzing market data and providing insights to users.
Conduct research on market trends, historical data, and user preferences to enhance Ensa recommendation capabilities.
Continuously optimize AI performance based on user feedback and market dynamics.
Work on MLOPS to deploy and maintain machine learning models in a production environment.
Stay updated with the latest advancements in AI, NLP, and quantitative trading.

Strong problem-solving skills with a focus on product development (mandatory).
Advanced proficiency in Machine Learning techniques and algorithms, including hands-on experience in model development and deployment. • Experience with Large language models is advantageous.
Experience in building recommendation systems is a plus.
Proficiency in quantitative analysis and statistical modeling to extract actionable insights from complex datasets is a plus.
Robust programming skills in Python, TensorFlow or 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).

Benefit:

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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Job level	Experienced (Non - Manager)
Salary	$ Under 3.000 USD
Deadline to apply	05/07/2024
Industry	IT - Software , IT - Hardware / Network