{"id":4088268,"url":"https://alion.io/job/fintechstan-ml-inzhener","title":"ML-инженер","company":{"id":4533909,"name":"FintechStan","domain":"fintechstan.tj","url":"https://alion.io/company/fintechstan","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Khujand, Tajikistan"],"countries":["TJ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"CatBoost","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Git","optional":false},{"name":"LightGBM","optional":false},{"name":"Linux","optional":false},{"name":"MS SQL","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Swagger","optional":false},{"name":"XGBoost","optional":false},{"name":"Kubernetes","optional":true},{"name":"MLFlow","optional":true}],"status":"live","first_seen_at":"2026-10-27T06:34:40Z","employer_posted_date":null,"last_verified_at":"2026-10-27T06:34:40Z","board_verified":false,"closed_at":null,"days_open":15,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":15},"description":"Мы — ведущая IT-компания Таджикистана “FintechStan”, занимаемся разработкой и внедрением программного обеспечения для финансовых организаций. В нашу команду требуется\n\nML -инженер\n\nОбязанности\n\n• Разработка и обучение ML-моделей \n\n• Анализ больших объемов данных \n\n• Построение predictive analytics решений \n\n• Разработка API для ML-сервисов \n\n• Интеграция ML-моделей с внутренними системами \n\n• Работа с транзакционными и клиентскими данными \n\n• Построение real-time processing решений \n\n• Deployment и сопровождение ML-моделей \n\n• Мониторинг качества моделей \n\n• Оптимизация производительности ML-сервисов \n\nОжидание по навыкам:\n\n• Python, SQL, Git \n\n• Scikit-learn, XGBoost / LightGBM / CatBoost \n\n• Pandas / NumPy, Feature Engineering \n\n• Classification / Regression, Anomaly Detection \n\n• FastAPI / Flask , REST API \n\n• OpenAPI / Swagger, Опыт интеграции сервисов \n\n• PostgreSQL / MSSQL, Оптимизация SQL-запросов \n\n• Docker,Linux \n\nБудет плюсом\n\n• Kubernetes \n\n• MLflow \n\n• Опыт в FinTech/Banking \n\n• Опыт работы с real-time системами \n\nМы ожидаем:\n\n• Умение разрабатывать production-ready ML сервисы \n\n• Умение создавать API для ML-моделей \n\n• Умение работать с большими объемами данных \n\n• Опыт интеграции с внутренними системами компании\n\nМы предлагаем:\n\n• Комфортный офис, в удобной локации\n\n• Развитие с профессиональной командой\n\n• Конкурентоспособную заработную плату (по результатам собеседования)\n\n• Официальное трудоустройство;\n\n• Оплачиваемые курсы, Тренинги\n\n• Премии на основе KPI, и другие приятные бонусы.\n\nГотовы развивать свои навыки?\n\nОтправьте свое резюме на почту: \n\n[…] Телеграм.\n\nТолько релевантные кандидаты будут приглашены на 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