{"id":149681,"url":"https://alion.io/job/wisebits-ml-engineer-data-scientist-search-recommendations-2","title":"ML Engineer / Data Scientist (Search & Recommendations)","company":{"id":1538,"name":"Wisebits","domain":"wisebits.com","url":"https://alion.io/company/wisebits","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"A","score":88,"open_postings":6,"ghost_share":0,"stale_share":0,"repost_share":0.833,"time_to_fill_p50_days":30,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Limassol, Cyprus"],"countries":["CY"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":5000,"max":null,"currency":"EUR","period":"month","gross":true,"usd_annual":68928},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ClickHouse","optional":false},{"name":"Hugging Face","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"Polars","optional":true},{"name":"Triton Inference Server","optional":true}],"status":"live","first_seen_at":"2026-09-18T08:58:36Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-17T06:31:31Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":2,"flags":["repost"],"days_open":28},"description":"Wisebits - международный IT-холдинг с сильной технической командой!\nНаш ключевой продукт - высоконагруженный видеохостинг, которым ежедневно пользуются миллионы людей по всему миру. Более чем за 15 лет на рынке мы сформировали профессиональную команду, где ценятся вовлечённость и инициативность.\nЕсли хочешь работать с high-load продуктом и иметь возможность влиять на его развитие - присоединяйся к нам!\n Чем предстоит заниматься:\n Разрабатывать рекомендательные системы: user-item, item-item, кросс-платформенные рекомендации;\n Исследовать и внедрять стратегии exploration-exploitation;\n Оптимизировать выдачу на страницах категорий, каналов и тегов;\n Строить text-to-video поиск: семантический поиск, embedding-модели, ранжирование;\n Адаптировать и оптимизировать модели под высокую нагрузку - десятки тысяч RPS.\n Наш стек:\n Языки и библиотеки: Python, PyTorch, LightGBM, Numpy, Pandas, Polars, CuDF, CuPy\n Инфраструктура и деплой: Kubernetes, Docker, Airflow, Triton Inference Server\n Хранилища данных: ClickHouse, MySQL\n Что мы ожидаем от тебя:\n Опыт работы с рекомендательными системами, поиском или смежными задачами от 2 лет;\n Уверенные знания Python и ML-фреймворков (PyTorch, LightGBM и др.)\n Опыт внедрения моделей в продакшн;\n Понимание принципов оффлайн- и онлайн-оценки моделей.\n Что мы предлагаем:\n Работа над ML-продуктом с миллионами пользователей и живыми метриками;\n Компактная команда, каждый инженер влияет на продукт и может развивать экспертизу сразу в нескольких направлениях;\n Опытные коллеги, с которыми интересно дискутировать, совместно размышлять и запускать новые проекты и фичи;\n Простая структура - 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