Mid/Senior Machine Learning Specialist

2 weeks ago

Kaunas, Kaunas, Lithuania HR factory Full time

OUR CLIENT - the region's leading telecommunications solutions provider, providing cutting-edge software solutions to major European and American mobile network operators and enterprise markets. We are looking for a Machine Learning Specialist to join the development of one of the most advanced fraud detection tools for the world's largest telecom operators.

Responsibilities
  • Delving into the telecommunications sector to effectively create solutions for fraud detection using the tools available;
  • Drive Machine Learning projects from ideation to production;
  • Suggest internal processes improvements;
  • Measuring the productivity of existing products;
  • Execute the performance studies.

Requirements
  • Experience with at least one machine learning framework (sklearn, xgboost, etc.);
  • Experience developing machine learning applications from scratch in industry setting;
  • Some software development skills;
  • Understanding of the mathematical methods behind machine learning algorithms.

Nice to have:

  • Experience with Python;
  • Experience deploying machine learning models to production;
  • Experience with a deep learning framework (on of PyTorch, Tensorflow, etc.);
  • Some knowledge on machine learning interpretability.

Benefits
  • Interesting and challenging projects;
  • Flat command chain;
  • Personalized development plan and regular progress reviews;
  • Skill-based pay and motivational system;
  • Profit-sharing and special bonuses;
  • Christmas gifts: gratitude to all our employees in recognition of their special dedication;
  • Work-Life balance: great working conditions and flexible hours;
  • Remote work possibility;
  • Potential to travel abroad and communicate with worldwide-known clients;
  • Constant improvement of professional skills (trainings, seminars, exhibitions, etc.);
  • Parking: convenient on-site parking available;
  • The salary range is gross/monthly.

    Only shortlisted candidates will be contacted.

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