Machine Learning Expert

Career Status: Professional Employment Type: Regular Full Time Career Level: T4PF-1   Original

Job Title:  Machine Learning Expert

Location:  Atlanta, GA

Work Model:   Hybrid Work Model.

SAP Labs, LLC seeks a Machine Learning Expert at our Atlanta, GA location to design and deliver intelligent, distributed systems that power large-scale AI and large language model (LLM) capabilities.

Shape cutting-edge infrastructure and bring bold ideas from concept to production—driving meaningful impact across SAP’s global ecosystem. Architect, design, and implement production systems in Go, Java and Python. Build and optimize backend services, databases, APIs, and LLM infrastructure. Leverage technologies such as Kafka, Postgres, Hana, gRPC, and advanced LLM frameworks. Mentor and guide engineers from junior to senior levels, fostering technical excellence. Partner with cross-functional teams to translate business goals into scalable, high-impact solutions.

Bachelor’s degree or foreign equivalent in Technology, Engineering,  or a related field of study  and seven (7) years of  progressive post-baccalaureate  experience in the job offered or related occupation. Alternatively, a  Master’s  degree or foreign equivalent in Technology, Engineering,  or a related field of study  and five (5) years of experience in the job offered or related occupation.

Experience must include five (5) years involving  each of the following:

Python,  GoLang , or Java;

Software architecture modeling, documentation drafting, and exercising best practices for large-scale enterprise applications; and

Cloud-native application development and DevOps practices - PaaS offerings, CI/CD pipelines, and modern deployment techniques within SAP ecosystems.

Experience must involve  two (2)  years in the following:

Working with Large Language Models (LLMs) and Generative AI with a strong understanding of emerging techniques and best practices; and

Building Agents using  Langgraph / Langchain  with vector stores for building Retrieval Augmented Generation (RAG) pipelines.

Travel:   N/A.

This position is eligible for the Employee Referral Program subject to the eligibility criteria outlined in the  SAP Internal Employee Referral Policy .

Internal use only: reference code lhrs4262

SAP:SAIL

EX:OUT

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.  ​ 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