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Job Detail

ML Engineer- remote

  • Medium Level
  • Type Fixed
  • Duration: More than 06 months
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Project Detail

We are hiring an ML Engineer to join our  team, who will help us improve a wide range of business directions, from detecting fraudulent activities and forecasting financial indicators, to automating processes in customer support.

Key Responsibilities

  • Development and support of services for generating responses and suggestions for support agents;
  • Development and support of user fraud scoring services;
  • Development of KYC mechanics using ML algorithms;
  • Deployment and integrating ML models as services;
  • Bringing best practices of working with the data in our DWH and Features store;
  • Bringing best practices of working with MLOps infrastructure.


Skills, Knowledge and Expertise

  • 3+ years of experience as an ML Engineer or Data Scientist;
  • Good knowledge of Python, understanding of best practices;
  • Excellent knowledge of SQL, understanding of best practices;
  • Classic DS & ML stack;
  • Strong understanding of Applied Statistics and Statistical Analysis, understanding the principles of hypothesis testing;
  • Proven record of improving business processes by integrating ML-based solutions end-to-end.


Bonus Skills

  • Model deployment experience, Airflow, Docker;
  • Experience in designing and validating A/B experiments;
  • Experience working with NoSQL / vectors databases / ANN indexes;
  • Developing streaming and batch data processing pipelines;
  • Experience on Google Cloud Platform.

Skills Required

MYSQL Python Docker