Requisition ID: 427271
Work Area: Software-Design and Development
Expected Travel: 0 - 10%
Career Status: Professional
Employment Type: Regular Full Time
Career Level: T2
Hiring Manager: Ismail Basha 
Recruiter Name: Rajasree Saha
Additional Locations:

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.

Senior 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 

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 Create and sustain GenAI digital assistants using LLMs and RAG Master’s/bachelor’s degree in computer science, data science, engineering, or a related field. Total work experience 4-8 years Strong analytical and problem-solving skills

 

Meet the 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.

 

SAP'S DIVERSITY COMMITMENT 

To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.
SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you 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

Successful candidates might be required to undergo a background verification with an external vendor.
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.