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# Machine Learning Expert

- **Company:** SAP SE
- **Location:** Atlanta, GA, United States
- **Salary:** $152,131.0 - $254,745.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Cloud Engineering, Databases, DevOps, Python (Programming Language), PostgreSQL, Machine Learning, Platform as a Service (PAAS), Software Architecture, SAP (Applications), SAP HANA, Software Engineering, Enterprise Software Applications, Large Language Models, Generative AI, Backend, Apache Kafka, Grpc, GPT, Golang
- **Published:** August 19, 2026
- **Apply:** https://jobs.sap.com/talentcommunity/apply/1427139433/?locale=en_US

## About the Role

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.

Qualifications/Skills and Competencies Experience:

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.

## Description

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.


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