Senior AI Engineer

Design and develop machine learning models to solve complex financial problems, including risk assessment, fraud detection, and predictive analytics;
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;
Collect, preprocess, and analyze large datasets from various financial sources to extract meaningful insights;
Create comprehensive documentation for developed models and algorithms, including technical specifications and user guides.

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

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