ML Engineer

•••••••• is an international IT holding with a high-load video hosting platform used by millions of people worldwide. Responsibilities: Develop and improve 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, optimizing inference, profiling, preparing features, and monitoring model quality. Develop high-load ML services in Python, including gRPC- and 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. Stack: Python, PyTorch, CatBoost, NumPy, Pandas, Polars, CuDF, CuPy, Kubernetes, Docker, Airflow, Triton Inference Server, ClickHouse, MySQL. Benefits: Medical insurance, tax compensation, professional training, work equipment, and language courses. Relocation to Cyprus includes visa support, relocation coverage, tickets, and the first month of accommodation. Flexible schedule and a supportive team.