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Maxpay — це міжнародний інтегрований платіжний процесор, який надає платіжні рішення та послуги для будь-якого типу онлайн-бізнесу. Компанія спеціалізується на наданні консалтингових послуг, а також наданні технічної та юридичної експертизи.
4 червня 2020

Machine Learning Engineer (вакансія неактивна)

Київ

Maxpay is looking for experienced Machine Learning Engineer !

Maxpay is an international, integrated payment processor providing payment solutions and services for any type of online business. The company focuses on offering consulting services as well as providing technical and legal expertise. Complex approach and ability to fully customize Maxpay solutions to any business needs, allow their clients to promote and sell products all over the world.

If you are working with Machine Learning algorithms, surely know Python, R and you want to develop algorithms for the risk system — you should apply!

Responsibilities:
— develop algorithms for the risk system;
— implement machine learning algorithms;
— analyze and process historical data;
— train data models;
— evaluate effectiveness of algorithms and data models;
— proactively contribute to new fraud prevention strategies;
— account management of customers;
— preparing analytical reports on company management request.

Requirements:
— bachelor’s Degree or higher is required;
— working proficiency in languages Python and R;
— practical experience of using Machine Learning algorithms: Deep Learning (Neural Networks), distributed Random Forest (DRF), Generalized Linear Model (GLM), Gradient Boosting Machine (GBM), Naïve Bayes Classifier, Stacked Ensembles, XGBoost;
— experience with models with unbalanced classes;
— experience in business context;
— solid understanding of basics in probability and statistics;
— intermediate or upper-intermediate English.

Desirable:
— graduate in quantitative scientific, engineering and/or mathematical discipline (Mathematics generally, Statistics/Probability, Physics, Electrical Engineering, Experimental Psychology, Chemistry, etc.)
— experience in working with H2O framework;
— experience in contributing to data monetization strategy;
— ability to appreciate business questions, not just the science;
— experience with direct customer interactions.

Benefits:
— professional and friendly team;
— competitive compensation depending on experience and skills;
— ability to influence on project and technologies;
— training, conferences, courses;
— paid vacation, paid sick leave, medical insurance;
— compensation of English classes, sport and medical insurance (50%);
— convenient office location in the centre of Kyiv.