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solutionsDeveloping predictive models, analytical insights, and generative AI toolsParticipating in generative AI projects including working with Large Language Models (LLMs) and GenAIGathering requirements and creating specifications aligned with business goalsApplying data science techniques in marketing, product development, customer behavior, and business processesSummarizing and presenting analytical results in various formatsManaging code, documentation, and data assets according to agreed standardsCoordinating projects and objectives, tracking progress, managing deadlines, and ensuring high-quality modelsExpectation\nBSc or MSc degree in IT, Economics, Technology, Natural or Social Sciences2-5 years of relevant professional experience in academia or industryIntermediate knowledge of statistics, data mining, and data analysisAbility to deliver modeling projects independently or with supervisionConfident use of Python, scikit-learn, pandas, and NLP libraries such as spaCy and Hugging Face TransformersConfident use of SQL and handling structured and unstructured dataFamiliarity with MLOps practices and tools such as MLflow, Docker, CI/CDBasic understanding of Git and version controlStrong analytical and strategic thinkingAbility to translate technical outcomes into business value and interpret model results in a business contextExcellent communication skills in English and HungarianActive participation in knowledge sharing and teamworkOther\nBasic level use of AI tools and confident integration into day-to-day workWhat we offer\nFlexible working including 10 home office days per monthCollective life and health insurancePaternity leaveFree advice in lifestyle, psychology, law and financeOffice gym and saunasCompany smartphone with unlimited internetDiscounted rates for family and friendsTrainings, courses and online platform for continuous developmentUnique headquarter with panoramic terrace, outdoor sports field and alternative garden officeAccess to Yettel 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