AI Engineer

Model Development: Design and develop machine learning models to solve complex financial problems, including risk assessment, fraud detection, and predictive analytics.
Data Analysis: Collect, preprocess, and analyze large datasets from various financial sources to extract meaningful insights.
Algorithm Implementation: Implement and optimize machine learning algorithms and techniques to improve model accuracy and performance.
Collaboration: Work closely with data scientists, software engineers, and financial analysts to integrate machine learning models into the platform.
Performance Monitoring: Monitor and evaluate the performance of deployed models and make necessary improvements.
Documentation: Create comprehensive documentation for developed models and algorithms, including technical specifications and user guides.