Senior AI/ML Scientist - Generative AI and Knowledge Graphs
Senior AI/ML Scientist - Generative AI and Knowledge Graphs
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Job Description
We help the world run better
At SAP we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences values flexibility and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative caring team environment with a strong focus on learning and development recognition for your individual contributions and a variety of benefit options for you to choose from.
What youll do:
At SAP we integrate AI technology with extensive industry-specific data and deep process knowledge to create innovative AI capabilities for all SAP applications. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains.
SAP AI Product Engineering is responsible for designing central frameworks and cloud services such as Joule Generative AI Hub AI Core and Document Information Extraction as the AI foundation for embedded AI throughout our portfolio in addition to our efforts towards SAPs foundation models both our own tabular business models and building on top of partner LLMs and generative AI technologies.
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 masters 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.
Meet your team:
SAPs AI organization is dedicated to seamlessly infusing AI into all enterprise applications enabling customers partners and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives opportunities for personal development abound and exceptional colleagues collaborate globally.
Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software SAP has evolved to become a market leader in end-to-end business application software and related services for database analytics intelligent technologies and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide we are purpose-driven and future-focused with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries people or platforms we help ensure every challenge gets the solution it deserves.At SAPyou can bring out your best.
We win with inclusion
SAPs culture of inclusion focus on health and well-being and flexible working models help ensure that everyone regardless of background feels included and can run at their best. At SAP we believe we are made stronger by the unique capabilities and qualities that each person brings to our company and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application please send an e-mail with your request to Recruiting Operations Team:
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without regard to their age race religion national origin ethnicity age gender (including pregnancy childbirth et al) sexual orientation gender identity or expression protected veteran status or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: 432593 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid.
Required Experience:
Senior IC
Employment Type
Full-Time
