2024. 09. 19. | Teljes munkaidõ | Budapest | MOL MagyarországAre you eager in participating in design, implementation and lifecycle management processes of enterprise Data and AI/Machine Learning solutions?Would you like to part of a team supporting several MOL business field's Data and AI solutions? If yes, then your place is here with us as Data & AI Business
Nézze később2024. 09. 17. | Teljes munkaidõ | Budapest | WiseJob Description The Fraud prevention team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible
Nézze később2024. 09. 17. | Teljes munkaidõ | Budapest | CinemoDesign training protocols as well as continuous improvement of the software stack reflecting advancements in the field of MLWhat you will need to succeedExperience in the areas of Machine Learning, Deep Learning and Computer VisionExperience with state-of-the-art computer vision models and developing CV
Nézze később2024. 09. 12. | Teljes munkaidõ | Budapest | Byborg IPJob Description Our Machine Learning R&D team designs, creates & uses state-of-the-art solutions to solve problems in live streaming apps. We apply AI where it is beneficial and profitable, thus not limiting ourselves to a single topic in the AI world. For us it's always important to work
Nézze később2024. 09. 12. | Teljes munkaidõ | Budapest | Bosch GroupJob Description Cloud Architecture and DesignDesign and implement Azure services tailored for data, machine learning, and web applications, including Azure Data Factory (ADF), Microsoft Fabric, Azure Kubernetes, Azure Machine Learning, and other Azure services. You will review and support
Nézze később2024. 09. 12. | Teljes munkaidõ | Budapest | BoschJob DescriptionCloud Architecture and DesignDesign and implement Azure services tailored for data, machine learning, and web applications, including Azure Data Factory (ADF), Microsoft Fabric, Azure Kubernetes, Azure Machine Learning, and other Azure services. You will review and support
Nézze később2024. 09. 11. | Teljes munkaidõ | Budapest | SanofiCapabilities Have a deep understanding of advanced statistical and machine learning techniques to uncover patterns, correlations, and predictive insightsPrepare and deliver
Nézze később2024. 09. 09. | Teljes munkaidõ | Budapest | emarsysThe opportunity to constantly challenge yourself and grow. HIGHLIGHTS FROM OUR INFRASTRUCTURE ATTRIBUTES We are responsible for 1000+ physical servers and 1100+ virtual machines - most likely, when you read it will be more. The physical servers are Dell, HP, or Lenovo, and they reside in four data centers
Nézze későbbNe hagyja ki a munkát!
Napi új bejegyzéseket kaphat e-mailben a Machine Design Budapesti Megye.