Primary Skills: Experience in computer science, physics, economics or related mathematical discipline.
Experience in deep learning.
Experience of modern ML frameworks such as PyTorch and Tensorflow.
Knowledge of fundamentals of ML including probability theory and statistics.
Strong Python programming skills.
Data analysis and visualization skills with libraries such as Numpy, Pandas, Matplotlib and Jupyter.