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Salary
≈ $51k – $129k per year (Estimated)
Location
In office (Moscow)
Seniority
Staff · 3+ years exp

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 20, 2026. Magnit scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Magnit is one of Russia's largest food retailers, running convenience stores, supermarkets, hypermarkets, cosmetics shops and pharmacies alongside online delivery and click-and-collect. Founded in 1994 in Krasnodar by Sergey Galitsky, it now operates tens of thousands of stores across the country, supported by its own logistics centres, transport fleet and food production facilities. The company is headquartered in Krasnodar with a large Moscow office, and hires store, warehouse and driving staff as well as corporate specialists in analytics, law, marketing and human resources.

Магнит Финтех ищет опытного специалиста по машинному обучению, который готов совмещать разработку ML-моделей с развитием команды и выстраиванием взаимодействия с бизнес-заказчиками.

Это роль для специалиста, которому интересно не только создавать и внедрять ML-решения, но и помогать коллегам расти, определять приоритеты задач и постепенно формировать сильную ML-команду.

Чем ты будешь заниматься:
  • Участвовать в полном цикле работы над моделями - от обучения и калибровки до вывода в production. Основные направления - uplift-модели, propensity-модели и модели ранжирования
  • Совмещать техническую экспертизу с лидерством: работать над ML-решениями самостоятельно и выступать ментором для 1-2 специалистов по машинному обучению
  • Выстраивать взаимодействие с заказчиками: совместно определять приоритеты, управлять бэклогом и ожиданиями, согласовывать сроки и результаты работы
  • Участвовать в развитии ML-направления: в перспективе - формировать команду, участвовать в найме и выстраивать процессы её профессионального развития

Стек, который используется работе: Trino, Apache Airflow, Greenplum, ClickHouse

Мы ожидаем:
  • Опыт работы в машинном обучении от 3-х лет
  • Практический опыт разработки, обучения и внедрения ML-моделей
  • Опыт менторства 1-2 специалистов или коллег с меньшим уровнем экспертизы
  • Системный подход к работе, внимательность к деталям и аккуратность при решении технических задач
  • Умение работать с бизнес-заказчиками, договариваться о приоритетах и управлять ожиданиями
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