We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
What You'll Build
- Develop, Test, and Deploy AI/ML Models: Build models across supervised, unsupervised, generative, and reinforcement learning paradigms. Implement and optimise ML pipelines for data preparation, training, deployment, monitoring, and retraining.
- Collaboration: Work closely with automation, data science, and product teams to translate requirements into technical specifications and ensure successful delivery.
- Integration: Integrate external models via secure APIs, manage prompt/response logging, and apply safety filters.
- Monitoring and Maintenance: Implement monitoring for model outputs, latency, cost, drift, and hallucination rates. Maintain runbooks, service levels, and rollback mechanisms for reliable AI operations.
- Documentation: Create and maintain technical documentation for ML systems and processes
What You Bring
- University degree in Computer Science, Information Technology, or related technical field. (Specialisation in AI/ML is preferred)
- 8 - 12 years of overeall experience and 3+ years of experience in developing and deploying scalable AI/ML solutions, ideally with hands-on experience in real-world business applications.
- Proven track record in coursework or projects involving sophisticated machine learning algorithms, data analysis, and model deployment.
- Collaboration: Experience working in cross-functional, international teams and collaborating with stakeholders to deliver business outcomes.
- Continuous Learning: Passion for learning and experimenting with new AI technologies, including knowledge graphs, multi-modal AI, and generative AI.
Tech Focus Areas
- Programming (Python preferred)
- Machine Learning Frameworks (Tensorflow, Scikit-learn, PyTorch)
- MLOps (Familiarity with CI/CD, model registry, feature store, containerisation (Docker, Kubernetes), and orchestration for AI workloads.)
- Data Engineering: ETL pipelines, SQL, Pandas, Spark, Apache
- NLP & GenAI: Transformers, BERT, GPT, text embeddings, prompt engineering, LLM frameworks (LangChain, LlamaIndex).
Where You Belong
SAP's Corporate Processes and Information Technology (CPIT) organization is SAP’s reliable technology partner who is providing the strategy and technological foundation for an Intelligent Enterprise, enabling SAP’s business transformation towards a cloud company. As part of CPIT, IT Operations is SAP's Platform provider and responsible for running SAP’s critical business applications. Within IT Operations, the service unit “Business Infrastructure Operations” (BIO) is responsible for 24x7 operations of important and critical SAP systems and applications embedded in an international delivery approach. BIO runs hybrid environment with various operating, databases and applications on on-prem, IaaS on Public (Azure) and Private cloud Infrastructure, Business Technology Platform (BTP). BIO works in close collaboration with SAP development and porting teams as a trusted partner to implement the latest and greatest product releases which serve as reference to SAP customers. The teams are distributed globally and located in Germany, India, and Mexico.
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 world.SAP is committed to the values of Equal Employment Opportunity and provides 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.Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.Successful candidates might be required to undergo a background verification with an external vendor.
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.Requisition ID: 440750 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
