

What you`ll do
· Establish, scope and guide SAP-funded research projects at renowned international universities as well as commercial partners.
· Contribute pioneering technical advances to the development of our Foundation Models, with a strong emphasis on hands-on coding, experimentation, and model improvement.
· Stimulate academic research by publishing Business AI–relevant problem statements, frameworks, and data sets, and by translating project innovations into impactful research publications and thought leadership in Foundation Models and Generative AI.
· Keep the pulse with the research, providing insights into the latest research findings and making them comparable with internal work
What you bring
· PhD or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines
· Extensive experience and academic background in Foundation Models and/or Machine Learning with Graphs (e.g., GNNs), demonstrated by a substantial record of related publications (including recent works) and a well-established professional network in these fields.
· Proven experience and deep understanding of the opportunities and challenges associated with collaboration between industrial and academic research.
· Demonstrated hands-on experience in researching, prototyping, and advancing machine learning models.
· Proficiency in Python, and experience with ML frameworks such as PyTorch, TensorFlow, or similar. Optionally, hands-on experience with Neo4j, TypeDB, PyG or similar.
· Ideally, experience with Machine Learning on structured data such as in the ERP or CRM domain
· Proven history of exemplary leadership and strategic mindset, complemented by superior organizational abilities.
משרות נוספות שיכולות לעניין אותך

What you`ll do:
The Role:
Unique opportunity to lead the development of Business AI Scenarios on SAP business data embedded in a rich and diverse business context.
Ability to solve complex problems using LLMs + Knowledge Graphs with In-context learning and finetuning.
Strong Experience with data pre-processing, Information Retrieval, RAG and applying Agentic AI to improve Question Answering with multimodality.
Experience with the latest advancements in the field of LLMs, Foundational Models, and Machine Learning, and apply the expertise to enhance the models and improve product quality.
Define processes, methods, hypothesis, experiments and review results from the ground up with an understanding to put them together for End-to-End Foundational Models and LLMs.
Collaborate cross-functionally with other teams to understand needs and requirements, ensuring the Foundation Models/LLMs align with strategic company objectives of embedding AI into our product portfolio.
Establish and drive research collaborations with academic and commercial partners.
Contribute to thought leadership in a revolutionary new data modality for Foundation Models and Generative AI.
What you bring:
PhD or master’s degree in computer science, Artificial Intelligence, or other relevant disciplines.
8+ years of relevant experience in Machine Learning and 3 years in LLMs.
Extensive experience with LLMs or Deep Learning as well as Machine Learning with Knowledge Graphs (e.g. GNNs).
Deep understanding of issues and opportunities of applying Generative AI in a business context.
Proficiency in Python, and experience with ML frameworks such as PyTorch, TensorFlow, or similar.
Experience in one of the agentic frameworks like LangGraph, etc
Exceptional teamwork abilities, strong leadership and strategic thinking skills.
Substantial publication record related to LLMs, Foundation Models, or Knowledge Graphs.
We win with inclusion
Successful candidates might be required to undergo a background verification with an external vendor.
San Jose
Palo Alto

What you'll do
As an AI Scientist, you will undertake projects that facilitate the incorporation of AI features within the Supply Chain Management solutions. Your work will revolve around the delivery of specific AI features as well as contributing to broader initiatives that enhance the underlying framework for AI feature development.
Your tasks will include:
Identifying and refining AI use cases
Prototyping AI functionality using Python, open-source tools, and SAP services, including AI model definition and evaluation
Integrating new functionalities into SAP’s Supply Chain Management products from both functional and technical perspectives.
Developing and sharing best practices for the development of AI features
What you bring
Minimum 2 years of experience in Data Science, AI, or Machine Learning, preferably in a product development setting. Familiarity with LLMs or AI Agents is advantageous
Proficiency in AI/ML technologies, models, and techniques within a Python ecosystem
Fluency in English
Prior experience with AI and ML in supply chain planning and execution software, particularly SAP Integrated Business Planning, is beneficial
Job Segment:Database, Scientific, Supply Chain, Supply Chain Manager, ERP, Engineering, Technology, Operations

What you'll do
Mandatory
Optional

*SAP will be prioritizing candidates with full working rights in Singapore.*
Purpose and objectives
As an Associate AI Scientist / AI Scientist, you will work together with a team of dedicated experts including AI developers, data engineers, dev-ops engineers, and architects with a single goal of building the best-in-class AI products. You will work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top-notch artificial intelligence systems.
Applicants with relevant experience may be considered for AI Scientist role.
Expectations and tasks
Your tasks include:
Push the frontiers of what is possible in the area of artificial intelligence and machine learning so as to create new solutions
Explore, understand, and implement most recent technologies and approaches for data science problems
Comfortably handle multi-terabyte data sets in scale-up and scale-out environments
Strive for state-of-the art, highly accurate and scalable data science models
Understand business processes which create and consume data to be able to select best approaches, evaluate their performance and assess business relevance
Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis, and refinement of the system implementation
Communicate the relevance of implemented systems and achieved results in a visual and consistent way
Work closely with the team, customers, and partners to holistically understand business and user requirements and derive adequate application development concepts
Performing quality assurance tasks
Solve complex regression issues
Ability to work in global teams with different time zones
Immerse yourself quickly into new topics, terminology, and development tasks
Educational and experience requirements
Required
Undergraduate or Post-Graduate specialization in Artificial Intelligence or Ph.D. degree in Computer Science, Mathematics, Statistics, or equivalent fields
0 to 3 years of working experience as data scientist, preferrable with an enterprise software or cloud application companies
Publication track record on deep learning, machine learning, large language, and foundational models
Proficient knowledge and track record of applying modern deep learning concepts
Track record of developing novel learning algorithms or systems
Experience with machine and deep learning software packages & libraries such as Caffe, Torch, Theano, TensorFlow, Keras, Scikit-learn, DeepLearning4j, GPT;
Hands-on with programming languages such as Python, C++, Java, Scala
Familiar with Agile/Scrum methodologies
Strong desire to overcome obstacles and make your work benefit SAP's customers
Excellent written and communication skills in English language
Optional
Operational knowledge of Linux distributions such as Redhat, Ubuntu, SUSE
Data Science experience in Large Language Models, Generative Pre-trained Transformer models, foundational models etc.
Job Segment: Data Science, AI Developer, Machine Learning, Artificial Intelligence

Associate Integration Consultant
This role requires a strong understanding of customer integration needs and the ability to translate them into effective technical solutions. The consultant may also be responsible for configuring and supporting system integration components to ensure seamless and efficient data flow across platforms.
Responsibilities will include, but are not limited to, the following:
Qualifications
Education, Experience & Training required:
Job Specific Specialized Knowledge & Skills: (in order of priorities)
Working environment & Hours
EOE:
EOE AA M/F/Vet/Disability:
Requisition ID: 424700 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

We are looking for an experienced 4-7 years and detail-oriented Content Designer who will craft user-centric help documentation, in-product contextual onboarding and continued learning experiences for the SAP Integration Suite.
Key Responsibilities:
What you bring

What you`ll do
· Establish, scope and guide SAP-funded research projects at renowned international universities as well as commercial partners.
· Contribute pioneering technical advances to the development of our Foundation Models, with a strong emphasis on hands-on coding, experimentation, and model improvement.
· Stimulate academic research by publishing Business AI–relevant problem statements, frameworks, and data sets, and by translating project innovations into impactful research publications and thought leadership in Foundation Models and Generative AI.
· Keep the pulse with the research, providing insights into the latest research findings and making them comparable with internal work
What you bring
· PhD or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines
· Extensive experience and academic background in Foundation Models and/or Machine Learning with Graphs (e.g., GNNs), demonstrated by a substantial record of related publications (including recent works) and a well-established professional network in these fields.
· Proven experience and deep understanding of the opportunities and challenges associated with collaboration between industrial and academic research.
· Demonstrated hands-on experience in researching, prototyping, and advancing machine learning models.
· Proficiency in Python, and experience with ML frameworks such as PyTorch, TensorFlow, or similar. Optionally, hands-on experience with Neo4j, TypeDB, PyG or similar.
· Ideally, experience with Machine Learning on structured data such as in the ERP or CRM domain
· Proven history of exemplary leadership and strategic mindset, complemented by superior organizational abilities.
משרות נוספות שיכולות לעניין אותך