
  Location: Berlin, Germany
  Remote: Possible
  Willing to relocate: no
  Technologies: Machine Learning, Statistical Analyse, Regression trees, Gaussian processes, Deep Neural Networks (CNN, RNN, LSTM, Attention, VAE), Python, NumPy, Pandas, Scikit-Learn, Jupyter Notebook, xgBoost, Tensorflow
  Résumé/CV: https://drive.google.com/open?id=14IIi2yC9bTQIwItCfdmAmcNofzbU3heJ
  Email: bart47 at gmail.com

ML Engineer with 2 years (Software Engineer 10+ years) of experience in data-driven business-focused applications with a solid mathematical and algorithmic background. Developed efficient solutions to classification, regression and learning to rank problems with all proved a success. Designed resource-efficient data pipelines, distributed systems and insights visualisations. Developed and led reliable, low-cost, in-house data infrastructure.
Interested in various ML research and distributed data processing. Responsible and business-minded.