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Senior/Middle ML engineer (Classification Models)

Ipotekabank OTP Group • Russian: C1 • Travel required • Bachelor's Degree • Python • SQL • Power BI • Seaborn • Matplotlib • 25 days ago

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Salary

≈ $18k – $46k per year (Estimated)

Location

In office (Tashkent)

Seniority

Senior · 2+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Sep 23, 2026. Ipotekabank OTP Group scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Ipotekabank OTP Group

Headquartered in Tashkent, Uzbekistan, Ipotekabank is one of the country's leading commercial financial institutions, specializing in mortgage financing and residential credit. Operating as a member of Hungary's international OTP Group, the bank provides a comprehensive suite of retail, SME, and corporate banking products, including deposit accounts, personal loans, and payment solutions.

ipotekabank.uz • HQ: Tashkent, Uzbekistan • Mortgage Lending & Brokers • Commercial & Retail Banks • 51-200 employees • Est. 2005

Tech stack of Ipotekabank OTP Group

Обязанности

Разработка, деплоймент, поддержка и мониторинг классификационных, uplift и регрессионных моделей: Application Scoring, Behavioral Scoring, Income Estimation, Antifraud Scoring, Collection Scoring
Анализ эффективности новых источников данных с последующим их внедрением в существующие и разрабатываемые модели
Общение с Product Owner, выявление бизнес-потребностей
Коммуникация со смежными командами: Data Engineers, DevOps, Data Analysts
Поведенческая и клиентская аналитика

Требования

Уверенное владение Python и соответствующими библиотеками: catboost, xgboost, lightgbm, statsmodels, scikit-learn, optuna, FastAPI, git
Уверенное владение инструментами для анализа и визуализации данных: SQL, pandas, seaborn, matplotlib
Уверенное знание теории вероятности и статистики
Высшее образование в STEM (Science, Technology, Engineering, Mathematics)
Наличие опыта разработки классификационных моделей от 2 лет
Будет большим преимуществом умение работать с такими инструментами как Airflow, MLFlow, Power BI

Условия

Возможность решать интересные прикладные задачи с непосредственным влиянием на бизнес-результат по множеству банковских продуктов: Cash Loan, Mortgage, Car Loan, Loans for Medium and Small Enterprises
Условия для роста и развития:
работа в одной из лучших DS/ML команд Узбекистана
возможность участия в конференциях и командировках
Работа с различными доменами данных: соцдем, карточные транзакции, доходы, кредитная история, телеком, финансовая отчетность компаний и др.
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