Knowledge of basics concepts from linear algebra, analytic geometry, matrix decompositions, vector calculus, probability and distribution, continuous optimization.
Knowledge of algorithms and data structures.
Knowledge of the mathematical foundations behind machine learning algorithms.
Advanced python programming and knowledge of libraries: pandas, numpy, scipy, sklearn, xgboost, keras, etc.
Experience in solving real machine learning problems.
Experience in developing applications that uses BigData concept (Spark), preferably.
What You Will GetBenefits
Interesting tasks and an opportunity to realize your potential in the company's international projects.
Full-time, 40-hour work week.
Flexible schedule.
Completely remote.
Timely and competitive salary.
Performance-based bonuses.
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