Draft internal presentations and prepare reporting materials * Further enhance analysis methods, tools and reporting standards - Understanding basic concepts of programming (eg. VBA) would be a plus
Draft internal presentations and prepare reporting materials * Further enhance analysis methods, tools and reporting standards - Understanding basic concepts of programming (eg. VBA) would be a plus
At SAP's Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios – scenarios that have so far been addressed with classical, often tree-based methods.
At SAP's Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios – scenarios that have so far been addressed with classical, often tree-based methods.
At SAP's Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios – scenarios that have so far been addressed with classical, often tree-based methods.
At SAP's Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios – scenarios that have so far been addressed with classical, often tree-based methods.
At SAP's Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios – scenarios that have so far been addressed with classical, often tree-based methods.
At SAP's Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios – scenarios that have so far been addressed with classical, often tree-based methods.
:em engineering methods AG - Mit :em engineering methods, 4Soft, SEMP Consulting und Wagner Informatik bündeln wir vier starke Unternehmen unter einem gemeinsamen Dach.
:em engineering methods AG - Mit :em engineering methods, 4Soft, SEMP Consulting und Wagner Informatik bündeln wir vier starke Unternehmen unter einem gemeinsamen Dach.
Stuttgart, München, Hamburg, Berlin, Frankfurt am Main
Integrate modern methods and technologies such as automation, prefabrication, modularization, AI and digital twin to enhance efficiency and scalability
Integrate modern methods and technologies such as automation, prefabrication, modularization, AI and digital twin to enhance efficiency and scalability
Adapt state‑of‑the‑art methods to real‑world use cases with limited and sensitive health data. In addition, you should have a strong interest in working on innovation projects with interdisciplinary teams and agile methods, together with our internal and external . o Strong programming skills in Python and C/C++.
Adapt state‑of‑the‑art methods to real‑world use cases with limited and sensitive health data. In addition, you should have a strong interest in working on innovation projects with interdisciplinary teams and agile methods, together with our internal and external . o Strong programming skills in Python and C/C++.
You evaluate and advance state-of-the-art methods in self-supervised learning, multi-modal fusion, and end-to-end architectures for real-world deployment. * Proven production experience with machine-learning frameworks such as PyTorch or TensorFlow, including training on large-scale datasets and programming skills in Python or C++.
You evaluate and advance state-of-the-art methods in self-supervised learning, multi-modal fusion, and end-to-end architectures for real-world deployment. * Proven production experience with machine-learning frameworks such as PyTorch or TensorFlow, including training on large-scale datasets and programming skills in Python or C++.