Seeking Skilled Machine Learning Engineer for TFT Model Bug Fix
Budget: $30 – $250 AUD
I am currently in search of a skilled machine learning engineer to address a minor bug in the design and training of TFT(Temporal Fusion Transformer) model.
Our project involves developing a stock trading system, which leverages machine learning models for stock price prediction. We use the TFT model to forecast future price trends and employ automated trading bots that act based on the signals generated by this module.
Recently, we encountered a small bug while upgrading our model architecture to integrate multiple TFT models across multiple tiers.
Skills and experience for this project include:
- Designing and training machine learning models, specifically TFT models.
- Proficiency in Python, including extensive experience with numpy and pandas.
- Advanced skills in time-series data analysis and management.
- Understanding of Interactive Brokers (IBKR) and experience integrating its API.
If you have the required skills and are interested in contributing to this project, please get in touch.
NOTE: You'll need to work via remote desktop to review the codebase and find the bugs.
Our project involves developing a stock trading system, which leverages machine learning models for stock price prediction. We use the TFT model to forecast future price trends and employ automated trading bots that act based on the signals generated by this module.
Recently, we encountered a small bug while upgrading our model architecture to integrate multiple TFT models across multiple tiers.
Skills and experience for this project include:
- Designing and training machine learning models, specifically TFT models.
- Proficiency in Python, including extensive experience with numpy and pandas.
- Advanced skills in time-series data analysis and management.
- Understanding of Interactive Brokers (IBKR) and experience integrating its API.
If you have the required skills and are interested in contributing to this project, please get in touch.
NOTE: You'll need to work via remote desktop to review the codebase and find the bugs.