Wisebits

data scientist for recommendation systems and search

In short

This role focuses on building and improving recommendation systems and text-to-video search for a high-load video hosting platform used by millions worldwide. The work involves taking ML prototypes to production: inference optimization, profiling, feature preparation, and quality control, plus developing high-load ML services in Python with gRPC/Triton. It requires 2+ years of experience with recommendation systems or search, strong Python and ML framework (PyTorch, CatBoost) skills, and production deployment experience. The position is office-based in Limassol, Cyprus, with relocation support offered.

About
Wisebits is an international IT holding whose key product is a high-load video hosting platform used by millions of people worldwide every day. The platform has been on the market for over 15 years.
Responsibilities
•Participate in developing and improving recommendation systems, including user-item, item-item, and cross-platform recommendations
•Optimize recommendations on 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/Triton-based services
Requirements
•2+ Years of experience with recommendation systems, search, or related ML tasks
•Strong knowledge of Python and ML frameworks such as PyTorch and CatBoost
•Experience deploying models to production
•Understanding of offline and online model evaluation principles
Conditions
•Medical insurance
•Tax compensation
•Professional training
•Work equipment
•Language courses
•Relocation to Cyprus, including visa support, relocation coverage, tickets, and the first month of accommodation
•Flexible schedule
•From €4,000 net per month; final compensation may be higher and depends on relevant experience, skills, and overall match with the role requirements

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