[Remote] AI Engineer

Collect, preprocess, and analyze large datasets from various financial sources to extract meaningful insights.
Implement and optimize machine learning algorithms and techniques to improve model accuracy and performance.
Work closely with data scientists, software engineers, and financial analysts to integrate machine learning models into the platform
Design and develop machine learning models to solve complex financial problems, including risk assessment, fraud detection, and predictive analytics.
Create comprehensive documentation for developed models and algorithms, including technical specifications and user guides

Working remote
Dynamic and flexible environment with positive teammates
Competitive income with commission for new deal and annual performance bonus
Premium Healthcare insurance to protect your health, and annual health check
Opportunity to develop your career path
Oppoturnity to work with caliber project with client in Vietnam and aboard
Annual company trip, Team Building, Happy hours, Birthday Activities...
Provide laptop for working
And other benefits according to labor law.

5+years of experience as a Machine Learning Engineer or Data Scientist.
Experience in the financial industry, working on financial models, risk assessment, or related areas.
Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
Fluent in English communication.
Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience with data preprocessing, feature engineering, and model evaluation techniques.
Good problem-solving skill.
Be able to work under deadline pressure.