Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вас ждёт практическая работа над серьёзными AI/ML-задачами в финансируемом быстрорастущем стартапе, но культура высоких ожиданий и обязательная работа из офиса могут означать интенсивный режим.
Высокий темп
Передовой AI
Стартап на подъёме
Понятные задачи
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Scientist (AI): Building AI-native, data-heavy product features and scalable machine learning pipelines for web-scale data with an accent on NLP, LLMs, entity resolution, information extraction, retrieval, ranking, and clustering. Focus on designing scalable ML products, handling complex edge cases, and solving challenging data and machine learning problems with Python and modern ML tooling.
Location: Helsinki, Finland; strong in-office culture at a Helsinki city-center office
Company
hirify.global is an early-stage AI startup building an AI-native product and platform.
What you will do
Build complex, data-heavy features for an AI-first product.
Develop and scale machine learning pipelines and products for web-scale data volumes.
Work on entity resolution, structured information extraction from unstructured sources, document retrieval, ranking, and clustering.
Help define the product direction and quality of an AI-native platform.
Requirements
Experienced Data Scientist with a startup-minded, highly driven approach and strong ownership.
Strong mathematical foundations, especially in linear algebra and statistics.
Hunger for innovation and the ability to develop solutions rather than simply copy existing approaches.
Knowledge of how to scale ML pipelines and products for web-scale data and complex edge cases.
Foundational knowledge of NLP and LLMs.
Experience with Python, NumPy, PyTorch, Hugging Face, Flyte, PySpark, or similar tools.
Fluency in English.
Nice to have
Previous experience with entity resolution, information extraction, document retrieval, ranking, or clustering problems.
Culture & Benefits
Minimal bureaucracy and limited unnecessary meetings, with a focus on building.
AI-first culture and the opportunity to build an AI-native product.
Autonomy balanced with accountability.
Helsinki city-center office, gym access, and regular team events.
Equity through an option plan.
Ambitious, low-ego colleagues and an in-office working culture.
Hiring process
30-minute phone screen with a recruiter.
One-hour technical interview with members of the development team.
30-minute coffee chat with the founders.
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