ML Engineer

About Us

We are a leading Israeli IT company with 15 years of market experience and 8 years in Ukraine. Officially registered in Ukraine, Israel, and Estonia, we employ over 100 professionals worldwide. Specializing in successful startup collaboration, we offer services across e-commerce, Fintech, logistics, and healthcare.

 

Requirements:

  • 3+ years of experience in Machine Learning or Data Science roles
  • Strong proficiency in Python and ML libraries
  • Solid understanding of statistics, data preprocessing, and feature engineering
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and ML infrastructure tools
  • Experience working with structured and unstructured data
  • Knowledge of MLOps practices and tools is a big plus
  • Upper-intermediate English level or higher

 

Responsibilities:

  • Design, develop, and deploy ML models to solve real-world problems
  • Collaborate with cross-functional teams to identify opportunities for machine learning solutions
  • Work with large datasets to build scalable pipelines for training and inference
  • Monitor model performance and retrain when necessary
  • Implement best practices for reproducibility, model versioning, and automated workflows
  • Contribute to research and prototyping of new algorithms and techniques
  • Document your work and present results to both technical and non-technical stakeholders

 

Interview stages:

  • HR interview;
  • Pro-interview;
  • Final interview;
  • References;
  • Offer.

     

Why Join Us?

๐Ÿ”น Be part of a friendly international team, working together on interesting global projects;
๐Ÿ”น Enjoy many chances to grow, learn from mentors, and work on projects that make a real difference;
๐Ÿ”น Join a team that loves fresh ideas and supports creativity and new solutions;
๐Ÿ”น Work closely with clients, building great communication skills and learning directly from their needs;
๐Ÿ”น Thrive in a workplace that values your needs, offering flexibility and a good balance between work and life.

Published 3 June
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