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Senior ML Engineer & Architect - SAP-RPT family(m/w/x)
Architecting SAP-RPT family models and translating research into production-ready code. Complex AI system design and Python software engineering experience required. Flexible working models, health and well-being focus.
Requirements
- Master's degree in Computer Science, Artificial Intelligence, or relevant disciplines
- PhD is a plus
- At least 5 years of professional experience in Python software engineering
- Architectural design of complex AI systems
- Machine learning model development
- Deep expertise in PyTorch ecosystem
- Hands-on experience with ML model deployment
- Hands-on experience with ML model optimization on cloud GPU infrastructure
- Ability to influence technical roadmaps
- Ability to navigate multi-dependency requirements
- Strong communication and collaboration skills
- Experience in large-scale, cross-cultural teams
- Exposure to relational enterprise data (ERP/CRM)
- Exposure to knowledge graphs
- Proficiency in deep-stack optimization frameworks like TensorRT and CudaGraph
- Knowledge of infrastructure patterns such as load balancing and GPU warmup strategies
Tasks
- Act as the architectural voice for the SAP-RPT model family
- Shape cross-functional architectural decisions
- Translate research breakthroughs into scalable solutions
- Drive research prototypes into production-ready code
- Develop containerized artifacts
- Define robust API specifications
- Implement efficient inference pipelines
- Ensure maximum runtime efficiency
- Develop benchmarking pipelines
- Maintain data pipelines
- Validate technical excellence of foundation models
- Ensure high-quality Python software engineering standards
- Maintain architectural integrity
- Produce robust model artifacts
- Develop Foundation Models for structured data
- Evolve SAP-RPT-1
- Pioneer new research in relational models
- Develop next-generation models
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorRT
- CudaGraph
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Inclusive culture
Healthcare & Fitness
- Health and well-being focus
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
Other Benefits
- Application assistance
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Senior ML Engineer & Architect - SAP-RPT family(m/w/x)
Architecting SAP-RPT family models and translating research into production-ready code. Complex AI system design and Python software engineering experience required. Flexible working models, health and well-being focus.
Requirements
- Master's degree in Computer Science, Artificial Intelligence, or relevant disciplines
- PhD is a plus
- At least 5 years of professional experience in Python software engineering
- Architectural design of complex AI systems
- Machine learning model development
- Deep expertise in PyTorch ecosystem
- Hands-on experience with ML model deployment
- Hands-on experience with ML model optimization on cloud GPU infrastructure
- Ability to influence technical roadmaps
- Ability to navigate multi-dependency requirements
- Strong communication and collaboration skills
- Experience in large-scale, cross-cultural teams
- Exposure to relational enterprise data (ERP/CRM)
- Exposure to knowledge graphs
- Proficiency in deep-stack optimization frameworks like TensorRT and CudaGraph
- Knowledge of infrastructure patterns such as load balancing and GPU warmup strategies
Tasks
- Act as the architectural voice for the SAP-RPT model family
- Shape cross-functional architectural decisions
- Translate research breakthroughs into scalable solutions
- Drive research prototypes into production-ready code
- Develop containerized artifacts
- Define robust API specifications
- Implement efficient inference pipelines
- Ensure maximum runtime efficiency
- Develop benchmarking pipelines
- Maintain data pipelines
- Validate technical excellence of foundation models
- Ensure high-quality Python software engineering standards
- Maintain architectural integrity
- Produce robust model artifacts
- Develop Foundation Models for structured data
- Evolve SAP-RPT-1
- Pioneer new research in relational models
- Develop next-generation models
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorRT
- CudaGraph
Benefits
Learning & Development
- Constant learning
- Skill growth
Informal Culture
- Inclusive culture
Healthcare & Fitness
- Health and well-being focus
Flexible Working
- Flexible working models
Ergonomic Workplace
- Accessibility accommodations
Other Benefits
- Application assistance
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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