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Вакансия опубликована 13 дн. назад - шансы на ответ снижаются.
обновлено 13 дней назад
ML Engineer / Data Scientist (RecSys, Search)
4 000€
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
ML Engineer / Data Scientist (RecSys, Search) (Python/PyTorch): Developing recommendation systems and text-to-video search for a high-load video hosting platform used by millions of people, with an accent on ranking, semantic search, and production ML services. Focus on optimizing inference, preparing features, evaluating model quality, and building high-load Python services with gRPC and Triton.
Location: Relocation to Cyprus is offered, including visa support, relocation coverage, travel tickets, and first-month accommodation.
Salary: From €4,000 net per month; final compensation depends on experience, skills, and role fit.
Company
Wisebits is an international IT holding operating a high-load video hosting platform used by millions of people worldwide.
What you will do
- Develop and improve user-item, item-item, and cross-platform recommendation systems.
- Optimize recommendations for category, channel, and tag pages.
- Build text-to-video search using embedding models, ranking, and semantic search.
- Turn ML prototypes into production services through inference optimization, profiling, feature preparation, and model quality control.
- Develop high-load ML services in Python, including gRPC- and Triton-based services.
Requirements
- 2+ years of experience with recommendation systems, search, or related machine learning tasks.
- Strong Python skills and experience with machine learning frameworks such as PyTorch and CatBoost.
- Experience deploying machine learning models to production.
- Understanding of offline and online model evaluation principles.
- Experience with relevant tools and infrastructure, including Kubernetes, Docker, Airflow, Triton Inference Server, ClickHouse, or MySQL.
Culture & Benefits
- Work on a machine learning product with real product metrics and millions of users.
- Compact team with broad opportunities to contribute and develop expertise across multiple areas.
- Experienced colleagues, collaborative solution development, and opportunities to launch new projects and features.
- Simple structure with minimal bureaucracy and high ownership.
- Medical insurance, tax compensation, professional training, work equipment, and language courses.
- Flexible schedule, comfortable work environment, and team support.
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