Job Posting: ML Engineer for BTC/USDT Prediction with CNN, LSTM, and Transformers #1
Description
Job Posting: ML Engineer for BTC/USDT Prediction with CNN, LSTM, and Transformers
We are looking for an experienced Machine Learning Engineer to help us build a BTC/USDT prediction model. The project will involve using Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), and Transformers to predict cryptocurrency price movements with high accuracy.
Requirements:
Strong experience with Python and Deep Learning frameworks (PyTorch, TensorFlow).
Expertise in Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, and Transformer models.
Experience with cryptocurrency data analysis or time-series forecasting.
Ability to fine-tune models to achieve 90%+ accuracy.
Experience with BTC/USDT data and understanding of the crypto market dynamics is a plus.
Strong ability to work independently and in a collaborative team environment.
Project Scope:
Collect and preprocess historical BTC/USDT data.
Build and experiment with CNN, LSTM, and Transformer architectures for price prediction.
Fine-tune models to maximize prediction accuracy.
Work with the team to implement the solution into production.
Compensation:
Competitive salary or hourly rate based on experience.
Possible contract-based or full-time depending on the candidate.
How to Apply:
If you’re interested, please reply with your resume and a short description of your experience with time-series forecasting and deep learning models. Include links to previous projects or code , here or email me : [email protected]