Machine Learning Engineer

SAP

Published 13 May 2026

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Palo Alto, CA, USA

107K - 229K USD Annual

Full Time

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Role Highlights

Languages used

Objective-C

Java

Python

SQL

Key skills

Data Engineer

Data Analysis

Machine Learning

Data Science

Knowledge Graphs

Computer Science

API

CICD

Code Reviews

Software Design

ERP

AI Engineer

Full Stack

LLMs

Generative AI

Research

Frontend

Backend

Devops

Microservices

TDD

Containers

Cloud

Visualization

Agile

Scrum

Testing

Infrastructure

Database

Operations

Tools, Libraries and Frameworks

SAP

Docker

Kubernetes

Git

PostGres

JSON

AWS

GCP

PyTorch

Tensorflow

Description

The role involves designing and implementing various projects within the generative AI space. The engineer will collaborate with data scientists to understand project requirements and craft effective technical solutions. Responsibilities include defining architectural and coding best practices while participating in software design and code reviews. The position requires supporting the product team through technical feasibility analysis and effort estimations. Additionally, the role focuses on developing tools and providing resources for proof-of-concept projects to support AI initiatives.

Required Qualifications and Skills

Candidates must hold a Bachelor degree in Computer Science, Artificial Intelligence, or a relevant discipline. At least 3 years of professional development experience is required. Applicants need proficiency in Java, Python, NodeJs, and SQL or Postgres, along with experience in Linux environments, Git, and ML frameworks like PyTorch or TensorFlow. The role also requires practical experience with microservices, APIs, CI/CD pipelines, Docker, and Kubernetes.

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About the company

SAP

Size

111344

HQ

Walldorf, DE

Public/Private

Public Company

Description

SAP is a global leader in business application software with a commitment to innovation, helping over 400,000 customers worldwide improve efficiency and business insight. As a cloud company with 200 million users and more than 100,000 employees, SAP focuses on end-to-end solutions in database, analytics, intelligent technologies, and experience management. With a culture of collaboration and personal development, SAP aims to inspire confidence and realize the full potential of its employees. The commitment to inclusion, health, well-being, and flexible working models ensures every team member can perform at their best, supporting SAP's vision of creating a more equitable world through technology.