Machine Learning Engineer

SAP

Published 09 Apr 2026

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Dubai, UAE

Full Time

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Role Highlights

Languages used

Python

Java

Key skills

Machine Learning

Deep Learning

Generative AI

Data Infrastructure

ML Ops

Feature Engineering

Prompt Engineering

Anomaly Detection

Vector Database

Semantic Search

Integrations

API

CICD

ERP

Inference

Forecasting

NLP

Testing

Automation

Regression

Clustering

Batch

Streaming

LLMs

Embeddings

Debugging

Reliability

Cloud

Operations

Software Design

Tools, Libraries and Frameworks

IOS

SAP

Kafka

Airflow

Ruby On Rails

PyTorch

Tensorflow

Description

The role involves building and operationalizing machine learning and AI capabilities from initial concept to production. Responsibilities include developing data pipelines, training and inference workflows, model-serving services, and evaluation frameworks. The position requires performing feature engineering, experiment design, and model tuning while integrating models into scalable product architectures. The individual will improve workflows related to large language models, including prompt design and retrieval-augmented generation. Additionally, the role focuses on strengthening the engineering backbone through automation, monitoring, and testing to ensure solutions are reliable and secure.

Required Qualifications and Skills

Candidates must possess one to three years of experience in machine learning engineering, software engineering, or a related field. Proficiency in Python is required, along with working knowledge of Java or Go. Applicants need a solid understanding of machine learning fundamentals and hands-on experience with deep learning frameworks. The role requires a proven track record of deploying models into production environments. No specific degree or professional qualification is explicitly mentioned as a requirement.

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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.