Machine Learning Work From Home Internship

Selected intern's day-to-day responsibilities include:

(a) Data handling:
1. Preprocessing and analyzing forex data using Scikit-Learn.
2. Performing feature extraction and normalization.
3. Handling missing data and ensuring data quality.

(b) NLP processing:
1. Implementing NLP tasks using frameworks like SpaCy or Transformers (by Hugging Face).
2. Conducting sentiment analysis and extracting relevant information from market news and reports.

(c) Model building:
1. Developing and training machine learning models using TensorFlow and PyTorch.
2. Building advanced models such as LSTM and CNN for time series forecasting.

(d) Traditional Machine Learning:
1. Implementing and validating standard machine learning algorithms using Scikit-Learn.
2. Comparing traditional and deep learning models to identify the best strategies.

(e) Model tuning:
1. Fine-tuning models using Keras and TensorFlow.
2. Performing cross-validation and hyperparameter optimization.

(f) Deployment:
1. Assisting in deploying models using Apache MXNet on AWS.
2. Ensuring models are efficient and scalable for real-time trading.

(g) Monitoring & maintenance:
1. Monitoring model performance and automate retraining processes using H2O.ai.
2. Implementing anomaly detection to maintain model reliability.

Benefits:

1. Gain hands-on experience with advanced machine learning techniques and real-world forex data.
2. Work in a dynamic and innovative environment.
3. Opportunity to contribute to cutting-edge technology in the forex trading industry.
4. Potential for full-time employment based on performance.
5. Work from home

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