ML Engineer

Location: KYIV, KHARKIV, UKRAINE
Work type: Full-time
ML Engineer responsibilities include both sides of the engineering and data science role. You will help our team train and deploy ML models from one side and maintain/optimize/speedup models in production from another side. You should have a strong problem-solving ability and a knack for statistical analysis.

Essential position responsibilities:

  • Design and implement data pipelines that running with ML models in production;
  • Maintain and optimize Python codebase for Data Science and Analytics stack;
  • Be responsible for continuous and stable model operation in production with appropriate precision and recall;
  • Engineering work in feature generation, code cleaning, preparation;
  • Participate in code reviews;
  • Monitor models performance and metrics;
  • Implement integration and unit tests;
  • Train ML models for different fraud types.

Required skills:

  • Engineering background and great experience in Python and SQL;
  • Click house, Docker, Kubernetes experience;
  • Understanding of Unity basics;
  • Solid experience with high-loaded and low-latency systems (e.g. Spark, Storm, Kafka);
  • Analytical thinking and exploratory state of mind. Strong research skills;
  • Deep understanding of the Machine Learning concepts and algorithms;
  • Ability to process and analyze huge data volumes, ability to create and check hypothesis including data visualization;
  • Degree in Computer Science, Data Science, Mathematics or similar field;
  • Empathy and good communication abilities.

Would be a big plus:

  • Knowledge of C#, Scala, or Go;
  • Experience with deployment on the cloud;
  • Experience with large-scale machine learning (100GB+ datasets);
  • Experience developing and optimizing real-time software for high-loaded systems.
At Scalarr, we’re solving one of the core problems faced by every mobile app developer - app install ad fraud, and for candidates, we offer a wide range of opportunities for different skill levels and experiences. Join our team and help us build the most accurate and reliable solution for detecting fraud using the latest technologies!
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