vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize disruptions Optimizing Detection Models: Continuously review, analyze, and improve core models used to detect fraud legitimate transactions. This involves adjusting models and thresholds based on factors like desired alert Integrate new data sources when needed to improve model effectiveness. Assist data engineering efforts to data analysis. Experience applying statistical modelling techniques to solve complex problems. Familiarity
vulnerabilities. Develop and maintain fraud detection models that are both accurate and minimize disruptions Optimizing Detection Models: Continuously review, analyze, and improve core models used to detect fraud legitimate transactions. This involves adjusting models and thresholds based on factors like desired alert Integrate new data sources when needed to improve model effectiveness. Assist data engineering efforts to data analysis. Experience applying statistical modelling techniques to solve complex problems. Familiarity
technologies including Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), Text-to-Speech systems Practical experience with Large Language Models (LLMs) Proficient in API integration and development Text-to-Speech (TTS), Speech-to-Text (STT), Large Language Models (LLMs), and integrating APIs Apply now For more
Strive to reach mature levels on the Continuum model by building own and team competence to work in a update system or object data models and correlate these with corporate models. ∙ Work with database design administration teams to translate object and data models into appropriate database schemas within design
Strive to reach mature levels on the Continuum model by building own and team competence to work in a update system or object data models and correlate these with corporate models. ∙ Work with database design administration teams to translate object and data models into appropriate database schemas within design
Project planning (timelines / prioritization – model setting up tickets in Jira). Translate client needs
balancers, and connection topology) in a descriptive model, using the same versioning as DevOps team uses for Strive to reach mature levels on the continuum model by building own and team competence to work in a