Description
We are looking to hire an experienced machine learning specialist who has a verifiable track record (either commercially or in academia) of understanding, building and implementing GAN based machine learning models.
Responsibilities:
- You will work with our technical team and data scientist on improving on a range of existing proprietary algorithms, for use in the currency and digital asset markets.
- Our focus is on GAN based machine learning networks.
- Work will be either in our London or Cyprus offices or from home.
Qualifications (Most of the below desired):
- Besides the relevant technical degrees, we are looking for someone with a detailed background in:
- Supervised Learning (Regression, Decision Trees, Random Forests, SVMs)
- Unsupervised Learning (Clustering, PCA, Autoencoders)
- Neural Networks & Deep Learning (CNNs, RNNs, Transformers)
- Reinforcement Learning (Q-Learning, Policy Gradients)
- Bayesian Methods
Programming (Some or all of the below desired):
- Python (most widely used for ML)
- R (useful for statistical analysis)
- C++ (for performance-heavy ML tasks)
- Java/Scala (useful in enterprise applications)
- SQL (for handling structured data)
- NumPy, Pandas, Matplotlib (Data Handling & Visualization)
- Scikit-Learn (Traditional ML Models)
- TensorFlow, PyTorch (Deep Learning)
- OpenCV (Computer Vision)
- NLTK, SpaCy, Hugging Face Transformers (Natural Language Processing - NLP)
Interest in finance and asset prices is a plus but not needed.