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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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