Associate Machine Learning Engineer

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.

As market leader in enterprise application software, SAP helps companies of all sizes and industries innovate through simplification. From the back office to the boardroom, warehouse to storefront, on premise to cloud, desktop to mobile device – SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition. SAP applications and services enable customers to operate profitably, adapt continuously, and grow sustainably.

Associate Machine Learning Engineer

Position Overview

We are looking for an experienced cloud developer to support us in the development of digital assistants and agentic flows in the context of Public Cloud. If you want to become part of our motivated team and develop an intelligent application based on cutting-edge technology in a cloud-native architecture, you will find an exciting opportunity to take end-to-end ownership of features from design and development through to quality assurance, deployment, and support:

PRODUCT TECHNOLOGY STACK

• Strong proficiency in VSCode, Python , Java/SpringBoot , Joule, Agents, LLMs, Jupyter notebooks, BTP and ABAP and extensive experience in software engineering.
• Knowledge is any functional domain especially Finance will be an advantage
• Expertise with CI/CD tools.
• Experience in cloud development, with a preference for SAP Business Technology Platform (BTP).
• Experience in prompt engineering with large language models (LLMs).
• Strong understanding of AI and machine learning concepts, with proficiency in YAML for configuration management.
  
  

What You'll Do

• Create and sustain GenAI digital assistants using LLMs and RAG.
• Work with data scientists, software architects, and engineers to design and implement digital assistant functionalities on Joule
• Work with data scientists, software architects, and engineers to design and implement e2e agentic flows and collaborate also with domain experts from PM and LoBs.
• Focus on scalability, reliability, and performance of applications using LLM and allied technology and framework.
• Implement automated deployment and monitoring processes using CI/CD tools, preferably Jenkins.
• Enhance workflows to improve efficiency and user experience.
• Keep abreast of the latest developments in AI, LLMs, and software development.
• Integrate digital assistants and agentic flows with cloud platforms.
• Use YAML, for effective configuration management of digital assistant applications
  
  

What You Bring

• Master’s/bachelor’s degree in computer science, data science, engineering, or a related field.
• Strong analytical and problem-solving skills
• Between 0-3 years of experience Python, ML, LLM
  
  

Meet your team

ABOUT SAP S/4HANA Finance Product & Engineering

Within the SAP S/4HANA Finance Product & Engineering team, we are a team of passionate AI mavericks who are on the path of setting SAP ecosystem as a frontrunner in the AI/ML arena. We work on multiple projects across the S/4HANA finance area like Joule, Agents, ISLM ,classic AI/ML projects and Customer Agents.

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: 427276 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Graduate | Employment Type: Regular Full Time | Additional Locations: .