The role involves direct hands-on execution and rapid prototyping of search and LLM stack optimizations. You will be responsible for delivering modular, reproducible pipelines and benchmarking model performance for financial AI applications.
You will design, train, and deploy advanced NLP models to enhance large-scale, high-precision data pipelines. Additionally, you will build robust integration layers and automated feedback loops to ensure seamless performance and continuous system improvement.
You will architect and build the next generation of search and recommendation intelligence while owning the full machine learning lifecycle. This includes developing advanced ranking algorithms, fine-tuning language models, and implementing scalable recommender systems.
