2024. 04. 18. | Teljes munkaidõ | Budapest | BAADERIs the digitalization unit within food processing machine manufacturer BAADER. The focus is on an interdisciplinary team of digitalization experts* who are committed to using digital possibilities and a global network of partners* with the aim to improve the entire food value chain for all stakeholders* involved
Nézze később2024. 04. 18. | Teljes munkaidõ | Budapest | Siemens EnergyAn ImpactYou will create 3D models with the 3D generator, enter of all parameters for tool components and mapping of the components into the correct TDM class group structure. Definition of the interfaces (tool side, machine side) of the componentsPreparation of external 3D models via the TDM "Solid Editor
Nézze később2024. 04. 18. | Teljes munkaidõ | Budapest | WEBER GmbHTechnology. With more than 250 highly qualified employees, we realize customer wishes from the planning and design of products, assemblies, special machines, electronics development and testing to the production, assembly and commissioning of systems on site. At our headquarters in Aschaffenburg, we carry
Nézze később2024. 04. 18. | Teljes munkaidõ | Budapest | Experis Manpower GroupHat) Experience in CI/CD, Ansible and Gitlab 3+ years of Elasticsearch experience is a must o Experience in both elastic ingest and Logstash pipeline building o Elastic mapping building, ECS, etc. o Data visualization with Kibana (lens, vega, machine learning, runtime fields, etc.) Splunk knowledge
Nézze később2024. 04. 18. | Teljes munkaidõ | Budapest | InuitsAs a Backend Developer, you'll join the development team of the flagship product of ReTech called Store Intelligence - a machine learning platform that drives retail automation. Collaborating closely with mobile and frontend teams, you'll develop key features. Plus, you'll have the opportunity to learn from
Nézze később2024. 04. 18. | Teljes munkaidõ | Budapest | AffirmAt Affirm, data is fundamental to everything we do. Our data and storage solutions empower machine learning, artificial intelligence, cloud-based technologies, and other modern tools to create differential and scalable products. We prioritize building our own technology and investing in engineering
Nézze később2024. 04. 18. | Teljes munkaidõ | Budapest | ScaleAcross the organization, such as software developers, platform engineers, machine learning scientists, customer operations, services or systems and define their long-term health goals, while also improving the health of surrounding componentsMentor other engineers and become deeply involved
Nézze később2024. 04. 18. | Teljes munkaidõ | Budapest | Three PointsAlgorithms and machine learning technology, to identify users across channels and devices (such as tablets, laptops, desktops, smartphones, smartwatches, or other wearables) with a high degree of accuracy. This allows them to match all devices used by one individual to that specific user or even household
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