BTP AI Techno-Functional Expert for Industries & LoBs -Cloud ERP Intelligent Enterprise CoE
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
- Design and build stable and scalable AI-based solutions, PoCs and first versions of new products & features. Make critical design decisions selecting underlying technologies.
- Iterate rapidly experimenting with GenAI, developing both front and backend components.
- Work alongside colleagues in a cross-functional team to develop and deliver modular, reusable components, ensuring they can be seamlessly integrated across a diverse array of cloud technology environments.
- Explore and assess new technologies in the field of generative AI, Large Language Models (LLMs), AI-augmented development, tools, and infrastructure to evolve existing highly used functionalities and services in the cloud.
- Design, maintain, and optimize the framework for collecting, processing, transforming, and granting access to data for GenAI applications.
Tech Expertise:
SAP BTP, Cloud Foundry/Kyma, Docker, Cloud-Native Development, TypeScript, SAP CAP, UI5, React, Jenkins, Git, GitOps, DevOps, Python.
What You Bring
- Proven experience developing solutions with SAP Business Technology Platform, ideally in combination with SAP ERP/SAP S/4HANA
- A solid understanding of AI modeling and methodology and tools in addition to general AI/ML.
- Prior experience in conceiving microservice environments including containerization and implementation with Cloud Foundry, Kubernetes, Kyma, or SAP AI Core
- Deep knowledge of software development with Python and JavaScript. Experience with others such as SAP UI5, ABAP, or JAVA is a plus.
- A strong understanding of machine Learning and AI frameworks such as PyTorch, TensorFlow, SAP HANA APL/PAL, scikit-learn, and their application to business environments.
- Prior experience with cloud/hybrid machine learning, data integration, data modeling, data analysis, integrations, and the development of applications and architectures
- Extensive knowledge in statistics, probability, and linear algebra with superior analytical skills.
- Exceptional presentation and facilitation skills, with the ability to effectively communicate complex information.
- Team-oriented with demonstrated leadership and mentoring skills.
- 6-11 years of relevant professional experience and a relevant college degree
Meet your team
Within S/4HANA Hub - Delivery @ Scale - we help our customers with Intelligent Enterprise Adoption through business process Innovation, Automation and Intelligence. The focus is on working with our S/4HANA Industry and LoB domains etc., to solve real-world business problems through our easy-to-consume service offerings, packages and accelerators. We do this through the right mix of process / functional expertise, technology expertise and innovative practices.
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.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: 411346 | Work Area: Consulting and Professional Services | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
Bangalore, IN, 560066
Job Segment:
ERP, Cloud, SAP, Data Analyst, Data Modeler, Technology, Data