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Senior ML Research Engineer & Architect - SAP-RPT family(m/w/x)
At an enterprise software leader, translating frontier AI research into services, optimizing models for GPU infrastructure. 5+ years Python software engineering, AI systems architecture, and PyTorch expertise required. Flexible working models available.
Anforderungen
- Master's degree in Computer Science, AI, or relevant disciplines (PhD a plus)
- 5+ years Python software engineering and AI systems architecture experience
- Proven ML model development with deep PyTorch expertise
- Hands-on ML model deployment and cloud GPU optimization
- Ability to influence technical roadmaps, strong communication and collaboration
- Exposure to relational enterprise data (ERP/CRM), ideally knowledge graphs
- Proficiency in deep-stack optimization frameworks (TensorRT, CudaGraph) (plus)
Aufgaben
- Translate frontier AI research into enterprise services
- Architect models for maximum efficiency
- Optimize models for high-performance GPU infrastructure
- Develop sophisticated data pipelines
- Maintain sophisticated data pipelines
- Develop sophisticated benchmarking pipelines
- Maintain sophisticated benchmarking pipelines
- Rigorously validate foundation model excellence
- Act as primary expert voice for SAP-RPT
- Translate model requirements into technical specifications
- Optimize the model's deep-stack
- Ensure model architectural integrity
- Prime models for SAP ecosystem integration
- Shape cross-functional architectural decisions
- Ensure research breakthroughs become scalable solutions
- Ensure research breakthroughs become ecosystem-ready solutions
- Transition research prototypes to production code
- Transition research prototypes to containerized artifacts
- Define robust API specifications
- Implement efficient inference pipelines
- Ensure high-quality Python engineering standards
- Ensure architectural integrity for robust artifacts
Berufserfahrung
- 5 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- Cloud GPU
- ERP
- CRM
- Knowledge Graphs
- TensorRT
- CudaGraph
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Gesundheits- & Fitnessangebote
- Health and well-being focus
Flexibles Arbeiten
- Flexible working models
Ergonomischer Arbeitsplatz
- Accessibility accommodations
Noch nicht perfekt?
- SAPVollzeitmit HomeofficeSeniorGarching bei München
- SAP
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Senior AI & GenAI Architect(m/w/x)
Vollzeitmit HomeofficeSeniorMünchen
Senior ML Research Engineer & Architect - SAP-RPT family(m/w/x)
At an enterprise software leader, translating frontier AI research into services, optimizing models for GPU infrastructure. 5+ years Python software engineering, AI systems architecture, and PyTorch expertise required. Flexible working models available.
Anforderungen
- Master's degree in Computer Science, AI, or relevant disciplines (PhD a plus)
- 5+ years Python software engineering and AI systems architecture experience
- Proven ML model development with deep PyTorch expertise
- Hands-on ML model deployment and cloud GPU optimization
- Ability to influence technical roadmaps, strong communication and collaboration
- Exposure to relational enterprise data (ERP/CRM), ideally knowledge graphs
- Proficiency in deep-stack optimization frameworks (TensorRT, CudaGraph) (plus)
Aufgaben
- Translate frontier AI research into enterprise services
- Architect models for maximum efficiency
- Optimize models for high-performance GPU infrastructure
- Develop sophisticated data pipelines
- Maintain sophisticated data pipelines
- Develop sophisticated benchmarking pipelines
- Maintain sophisticated benchmarking pipelines
- Rigorously validate foundation model excellence
- Act as primary expert voice for SAP-RPT
- Translate model requirements into technical specifications
- Optimize the model's deep-stack
- Ensure model architectural integrity
- Prime models for SAP ecosystem integration
- Shape cross-functional architectural decisions
- Ensure research breakthroughs become scalable solutions
- Ensure research breakthroughs become ecosystem-ready solutions
- Transition research prototypes to production code
- Transition research prototypes to containerized artifacts
- Define robust API specifications
- Implement efficient inference pipelines
- Ensure high-quality Python engineering standards
- Ensure architectural integrity for robust artifacts
Berufserfahrung
- 5 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- Cloud GPU
- ERP
- CRM
- Knowledge Graphs
- TensorRT
- CudaGraph
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Gesundheits- & Fitnessangebote
- Health and well-being focus
Flexibles Arbeiten
- Flexible working models
Ergonomischer Arbeitsplatz
- Accessibility accommodations
Über das Unternehmen
SAP
Branche
IT
Beschreibung
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
Noch nicht perfekt?
- SAP
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