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• Be the first contact for student teams and clubs working on innovation projects.
• Track each team’s progress, needs and next steps in a shared tracker.
• Help plan and run events such as pitch nights, workshops and team meetings.
• Match student teams with mentors from industry and the university.

•Development and testing of the modern engineering and web-based software •Active work in an agile scrum team ...

•Development and testing of the modern engineering software •Active work in an agile scrum team...

• Hálózatok etikus hacking vizsgálata (internet felől, belső hálózatok, wifi)
• Alkalmazások (web, mobil, natív) biztonsági vizsgálata
• Rendszerek biztonsági vizsgálata (hardening, konfiguráció)
• Forensics vizsgálatokban való részvétel
• Cyber range gyakorlatok készítésében való részvétel

• Conducting in-depth assessments with clients to understand their business and technical needs
• Analyzing client requirements and proposing feasible technical solutions based on them
• Identifying client challenges and goals, recommending effective solutions, and building client trust

Actively participating in the preparation of yearly, quarterly, and monthly activity plans for the consumer segment, ensuring that campaigns and initiatives are well-structured...

• Owning and prioritizing the digital product backlog in Jira, ensuring the team can focus on well-prepared developments that deliver business value
• Turning complex requirements into clear user stories, technical tasks, and testable acceptance criteria, supporting predictable delivery

• Improving operational efficiency through process optimization, automation, and the adoption of new technologies
• Understanding the company's data warehouse and helping align data flows with reporting requirements

• A vendégek fogadása és udvarias, figyelmes kiszolgálása.
• Étel- és italrendelések felvétele, pontos továbbítása és felszolgálása.
• Az étlap bemutatása és ajánlások nyújtása a vendégeknek.
• Az asztalok és a vendégtér tisztán, rendezetten tartása.
• Szoros együttműködés a konyhával és a csapat többi tagjával.

Designing, developing, and evaluating machine learning models on complex telecom and retail data to transform high-volume datasets into production-ready solutions such as churn prediction models to drive retention offers or point-of-sale fraud models to cut first-payment defaults...