Vacancies

ML Engineer / Data Science Developer (Python) / Дата-сайентист

  • Income level not specified
  • Almaty

Short description

  • We are currently looking for a Middle ML engineer (or Middle Software Developer who is familiar with classical ML and wants to develop in Data Science) who will develop existing solutions and participate in the creation of new ones. 

Responsibilities

  • To work on the system in production is to improve its stability, performance, and model quality.;

  • Develop and maintain ML pipelines;

  • Participate in the full cycle of ML development - from data preparation and experiments to implementation and monitoring of models in production;

  • Analyze data, test hypotheses, create visualizations and reports for business;

  • Work with distributed data processing systems (Spark or analogues);

  • To maintain the engineering quality of the code: unit tests, code review, documentation;

  • Apply the best practices of team development.

Requirements

  • Experience in team development and understanding of the principles of building "medium-sized" systems;

  • Proficiency in Python and confident work with the ML stack (pandas, numpy, scikit-learn, lightgbm/xgboost/catboost);

  • Data analysis and visualization skills;

  • Experience in pipeline development or support (Airflow, Prefect, Luigi, or similar);

  • Experience working with Spark or other distributed data processing systems;

  • Knowledge of the basics of classical ML and statistics, participation in Kaggle or practical projects will be a plus.;

  • Experience writing unit tests and working with git;

  • Focus on professional and career growth.

Conditions

  • Working in a strong ML team;
  • Participation in the growth of a company operating in a promising AI market;
  • Flexible work schedule, flexible provision of time off and vacations;
  • Flexible work format: full remote.
  • Support in professional and career growth, payment for specialized training, conferences and books, corporate discounts on English courses;
  • Collaboration with experienced developers, data analysts, managers, and product specialists.

Contact information

  •  aperekrestova@rubbles.ru
Товарищество с ограниченной ответственностью РАБЛЗ
IT-company
Participant of Astana Hub
  • Job Type

    Full-time
    Remote work

  • Direction

    Other

  • Required Education Level

    Bachelor's degree

  • Work experience

    From 3 to 6 years

  • Vacancy Status

    Open

  • Publication Date

    25 november 2025