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As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

• Design, develop, and maintain applications based on the Angular framework
• Define and implement frontend solution strategies across multiple applications and user groups
• Collaborate with UX designers to plan UI designs, develop interaction concepts, and ensure usability and performance

Design, develop, and maintain platform tooling that enables efficient deployment, monitoring, and operations of containerized applications across hybrid environments (on-premises and cloud)...

Working directly with customers and project teams providing technical expertise on Veeva’s applications, Vault Platform, APIs, and Java SDK Developing custom code and configuring Veeva software Contributing to solution design under guidance of experienced technical and migration architects...

Where you belong: Where you belong: ...

• Backend fejlesztés Java és Groovy nyelveken
• Doxis rendszer testreszabása és fejlesztése
• Integrációk kialakítása különböző enterprise rendszerekkel
• Hibakeresés, optimalizálás és folyamatos fejlesztés
• Ügyeleti részvétel tervezetten, előre egyeztetve

• Work hands-on on an AI-driven proof-of-concept for core after-sales processes
• Support the implementation and testing of PoC components such as data products, machine learning models, agent workflows, or UI elements

• Development of tools for parsing, analyzing, and visualizing sensor data
• Maintenance of code repositories including version control, code reviews, and documentation
• Support and management of CI/CD pipelines, software releases, and automated testing

• Design, develop, test, deploy and maintain software in a thriving environment
• Manage individual project priorities and deliverables whilst working in a team who enjoy knowledge sharing sessions