{"id":2426033,"url":"https://alion.io/job/your-codereview-ml-inzhener-llm-nlp","title":"ML-инженер (LLM / NLP)","company":{"id":13358,"name":"Your CodeReview","domain":"yourcodereview.com","url":"https://alion.io/company/yourcodereview","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ivanovo, Russia"],"countries":["RU"],"hiring_countries":["RU","BY","KZ","KG","AM"],"hiring_countries_total":5,"salary":{"min":140000,"max":null,"currency":"RUB","period":"month","gross":false,"usd_annual":19932},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GigaChat","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"PEFT","optional":false},{"name":"pgvector","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Weaviate","optional":false},{"name":"YandexGPT","optional":false},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-13T07:48:05Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-23T05:59:53Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Привет! Софи - молодая IT-компания, которая автоматизирует поиск работы. От составления резюме, откликов на вакансии до приглашений на интервью и переписок с рекрутерами.\n Какую боль мы решаем?\nНа одну Junior-вакансию откликается от 1500 до 3000 человек. Рекрутер просматривает только 40-50 откликов. Чтобы получить 2-3 приглашения, нужно делать 600-700 откликов, каждый занимает 5-15 минут.\nПоэтому мы разработали Софи - ИИ-ассистента, который автоматизирует 80% рутины по поиску работы.\nКто в команде: 1 дизайнер, 1 разработчик, 1 саппорт, 1 маркетолог.\nИщем Middle ML-инженера, который прокачает \"мозги\" Софи: научит ее точнее подбирать вакансии, лучше писать резюме и сопроводительные и вести переписку с рекрутерами как живой человек.\n Задачи:\n * Разработка и улучшение LLM-пайплайнов: генерация резюме, сопроводительных писем, ответов рекрутерам.\n* Матчинг и ранжирование вакансий под профиль кандидата.\n* Построение RAG-систем и работа с эмбеддингами.\n* Промпт-инжиниринг, оценка качества ответов моделей, построение eval-пайплайнов.\n* Оптимизация стоимости и скорости инференса.\n* Вывод моделей в прод и мониторинг их качества.\n* Проведение экспериментов и A/B-тестов новых подходов.\n Стек (обязательно):\n * Опыт работы ML-инженером от 1,5 лет.\n* Уверенный Python (pandas, numpy, scikit-learn).\n* Опыт работы с LLM через API (OpenAI, Anthropic, YandexGPT, GigaChat или аналоги).\n* Понимание NLP: эмбеддинги, векторный поиск, классификация текстов.\n* Опыт вывода ML-решений в прод.\n* Умение оценивать качество моделей и объяснять результаты простым языком.\n Плюсом:\n * Опыт работы в стартапе или небольшой продуктовой команде.\n* Опыт с LangChain / LlamaIndex или собственными агентными пайплайнами.\n* Опыт работы с векторными БД (Qdrant, pgvector, Weaviate и т.п.).\n* Опыт fine-tuning моделей (LoRA, PEFT).\n* Опыт работы с PostgreSQL, Docker, FastAPI.\n* Опыт в HR-tech или задачах матчинга.\n Мы предлагаем:\n * Удаленка, гибкий график.\n* Интересные задачи в области AI и автоматизации.\n* Влияние на процессы и развитие продукта.\n До встречи на собеседовании!","description_format":"text","description_chars":2064,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Russian","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Russia","iso":"RU","kind":"country"},{"name":"Belarus","iso":"BY","kind":"region"},{"name":"Kazakhstan","iso":"KZ","kind":"region"},{"name":"Kyrgyzstan","iso":"KG","kind":"region"},{"name":"Armenia","iso":"AM","kind":"region"}],"hiring_excludes":[],"relocation_offered":false,"industries":["EdTech Platforms","Career Services"],"lifecycle":[{"event":"open","at":"2026-10-13T07:51:15Z"}],"visa":[],"liveness":{"score":77,"band":"hot","label":"Hiring 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