Senior AI/ML Applied Scientist (f/m/d): Structured Enterprise Data

What you’ll build

Summary:

At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. However, their limited ability to leverage tabular data leaves a considerable share of enterprise data untapped. It is SAP's mission to overcome this challenge within the realm of Business AI. Our goal is to adapt Foundation Models to SAP data, enabling our clients to solve their business processes more effectively.

The Role:

• Unique opportunity to develop a Foundation Model on structured business data.

• Design and implement scalable pipelines and models, address open challenges and lead project workstreams.

• Conduct experiments and perform rigorous evaluations to measure the performance and effectiveness of the developed models.

• Spearhead engineering and architecture efforts to move model experiments into production

• Work with large scale tabular enterprise data, optimize and fine-tune models to improve accuracy, scalability, and interpretability.

• Stay up to date with the latest advancements in the field of Deep Learning, Foundational Models, and Generative AI

What you bring

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines. PhD is a plus.

• 5+ years of related professional experience incl. 3+ years hands-on experience with Machine Learning on structured/tabular enterprise data such as in the ERP or CRM domain.

• Experience with implementing data preprocessing pipelines for relational structured data

• Deep understanding of Machine Learning algorithms and techniques, particularly in the context of structured data. Experience with Foundation Models, Transformer Models, or Deep Learning with their application in a business context.

• Software engineering excellence in Python and proven experience with ML frameworks such as PyTorch or TensorFlow

• Strong communication and collaboration skills, with the ability to work effectively in cross-cultural teams

Where you belong

SAP's 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. The team has also been publishing parts if the work in top-tier conferences (e.g. ICML, NeurIPS

SAPAICareers, #SAPBusinessAICareers, #SAPAIGermany

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 SAP, you can bring out your best.
We win with inclusion
SAP’s 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. 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 world.

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.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

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