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
You will be part of the central SAP AI Development Unit and support our customers with the adoption of SAP Business AI solutions, helping them to improve their business results based on latest machine learning technology. In this role you work closely with our development teams and the customer to achieve high value propositions and apply machine learning technology, in the daily work of our customers.
This position requires the ability to work and communicate in a dynamic, interdisciplinary and intercultural team in an agile and efficient way. As a thought leader in Machine Learning you appreciate the possibility for learning and personal development and therefore you keep track of the latest developments and share your knowledge actively with others. You will be working with and leading teams to successful projects in the context of Machine Learning Technology.
What You Bring
- Degree in Computer Science, Information Technology, Mathematics, Physics or Data Science
- 3 or more years relevant work experience
- Good overview of Machine Learning trends and technology, like Generative AI and LLM
- Experience in implementation of Machine Learning solutions and platforms
- Knowledge and experience in Machine Learning Programming Frameworks, like TensorFlow or scikit
- Programming skills like Java, Python, JavaScript, NodeJS, Jupyter Notebook, ABAP (good to have)
- Database Knowledge
- Web and Cloud Computing Knowledge
- Ideally SAP applications and technologies (S/4 HANA and BTP) and/or SAP systems integrations
- Customer engagement and implementation experience
- Fluency in English (written and spoken)
Meet the Team
You will work in an international team and open minded and innovative specialists working with our customers on machine learning as well as providing the right data architecture based on cloud computing. The team is focused to drive adoption and customer success based on SAP’s Cloud strategy and is focused on machine learning.
Our customer’s success is our main goal and obligation. Our competency is key to achieve this.
#SAPAICareers
#SAPBusinessAICareers
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.
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.
Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 145000 - 246400(USD) USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.
Requisition ID: 397029 | Work Area:Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: