ვაკანსიის შესახებ
The role covers the end-to-end machine learning lifecycle for search and recommendation intelligence, including ranking, retrieval, language model optimization, and personalized recommender systems.
Responsibilities
- Own the end-to-end machine learning lifecycle for search and recommendation intelligence.
- Design, build and deploy ranking algorithms and retrieval models serving financial professionals.
- Fine-tune and distill language models using semantic embedding techniques, including binary, matryoshka and late-interaction embeddings.
- Architect personalized recommender systems.