Develop our scalable, cloud-based data platform for analytics and business intelligence, leveraging state-of-the-art data technologies. Shape an AWS-based data processing, ingesting data from our internal backend services as well as from third parties. Extend our lakehouse empowering various teams in decision-making, driving innovation, performance optimization, and strategic objectives. Prepare and clean structured and unstructured data and develop high-quality data models for advanced analytics, and AI use cases.
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Your Master thesis aims to assess the efficacy of LLM-based rerankers for patent retrieval. You will research state-of-the-art methods from the literature and analyze their performance in the context of patent data. You will implement computational experiments to identify advantages over prior methods, as well as areas for improvement and develop novel approaches to address identified limitations.
Develop our scalable cloud-based data backbone which drives our data-driven company using the most up-to-date technologies in the data space. Shape an AWS-based batch data processing and data streaming solution, ingesting data from our internal backend services as well as from third parties. Create a financial data warehouse combining the latest technologies with features required due to regulatory needs.