Found Description
- Model Development: Assist in designing, training, and fine-tuning machine learning models using Python and modern ML frameworks.
- Data Pipeline Maintenance: Help clean, preprocess, and analyze large datasets to ensure high-quality training inputs for our models.
- Performance Evaluation: Conduct experiments to evaluate model accuracy, precision, and recall; document findings and iterate based on performance metrics.
- Research & Implementation: Stay up-to-date with the latest developments in AI/ML and explore how they can be applied to solve specific fintech problems.
- Collaborative Deployment: Work with the engineering team to integrate model prototypes into our production environment.
Requirements
- Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Ma...