Senior Data Scientist (f/m/d) for BTP ABAP AI

SAP

Walldorf

EUR 80.000 - 100.000

Jobbeschreibung

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 you`ll do
BTP ABAP (Business Technology Platform ABAP), at the heart of SAP's technical foundation, shapes the global enterprise application landscape. In our dynamic unit, BTP ABAP AI, we drive ABAP's AI innovation and shape the vison of tomorrow, exploring the integration of Generative AI in ABAP Platform to unlock efficiency potential for ourselves, customers, and partners. Join us in advancing the future of enterprise solutions!

The Role:
We are seeking a Senior Data Scientist for BTP ABAP AI with a strong background in AI technologies and ABAP language to join our team. The ideal candidate will have proven track record of successfully delivering complex and cutting-edge AI projects for ABAP and/or BTP based solutions. Your role involves innovatively applying AI solutions to ABAP's language and programming models.

Responsibilities:

Assess requirements necessary for training or fine-tuning large langue models (LLM) for BTP ABAP
Design, architect and implement LLM algorithms to process and analyse large datasets to identify trends, patterns, and provide insights.
Design and architect large scale training and deployment systems. This includes reuse and integration with BTP GenAI Hub
Evaluate the effectiveness of user interactions and model performance continuously, iterating on feedback. Conduct experiments and performance evaluations of AI models.
Work hand in hand with the developers to integrate AI solutions into existing systems.
Explore, understand, and implement most recent AI technologies, like Large Language Models, Generative AI, etc.
Share your knowledge and educate developers to harness latest in technology for business application development.
As the LLM models you need to work on are all ABAP code generation type of models, deep understanding of ABAP programming is mandatory, past experience as ABAP developer is a plus.

What you bring

University degree in Computer Science, Statistics, Data Science or related technical field and possess relevant experience.
Strong analytical and problem-solving skills with a passion for Machine Learning
Extensive knowledge in architecting, training and validating ML models, as well as experience in machine learning evaluation metrics and best practices
Solid foundation in computer science, with strong competencies in algorithms, data structures, object-oriented programming, design patterns, multi-threaded programming, and software design principles
Proficiency in ABAP programming language is necessary. Candidates are expected to understand ABAP development principles, SAP systems, and programming models.
Knowledge of Python programming language is beneficial
Excellent communication and collaboration skills are essential, emphasizing the ability to work well in global and cross-cultural team. Fluency in English is a must for this role. German is a significant advantage.

Meet your team
BTP ABAP is the driving force behind innovation at the core of SAP. Comprising over 800 professionals globally our team takes pride in being SAP’s technical foundation. Our innovations impact over 12 million users across 120 countries.
Join BTP ABAP AI team to drive ABAP's AI innovation and shape the vison of tomorrow, exploring the integration of Generative AI in ABAP Platform to unlock efficiency potential for ourselves, customers, and partners. Your journey starts here!

#GenAI #AI #GenerativeAI #ABAP #SAPTICareers

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. 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: Careers@sap.com.
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.