Machine Learning Engineer

SAP SE; Dubai; On-site; AED 180,000 - 240,000; Full time

Job summary

SAP SE is seeking an ML Engineer to design, build, and deploy ML-enabled capabilities from concept to production. You will develop data pipelines, training and inference workflows, and robust model-serving services for real‑world enterprise use cases.

You will apply ML fundamentals, DL frameworks, and MLOps practices to ensure scalable, secure, and cost‑aware AI solutions across SAP’s platforms and customers. Join a collaborative team driving value across industries.

Qualifications

• Hands-on experience deploying models into production in cloud or on‑prem environments.
• Solid understanding of evaluation metrics and model validation for production systems.
• Experience collaborating with cross‑functional teams to ship end‑to‑end ML features.

Responsibilities

• Build and operationalize ML capabilities from idea to production with measurable value.
• Develop data pipelines, training/inference workflows, and model-serving services.
• Improve ML workflows, model lifecycles, and CI/CD for enterprise scale.

Skills

Python programming

Java or Go

ML fundamentals

Deep learning frameworks

Data preparation & feature engineering

Production ML pipelines

Generative AI concepts

MLOps & data infra

ML systems monitoring

Tools

Spark

Kafka

Airflow

Feature stores

Job description

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.

What you’ll build

In this role, you'll build and operationalize machine learning and AI capabilities that from idea to production and deliver measurable product value. You'll develop data move pipelines, training and inference workflows, model-serving services, APIs, and evaluation frameworks for use cases such as recommendation, forecasting, anomaly detection, classification, NLP, semantic search, and generative AI.

Your work will include feature engineering, experiment design, model tuning, offline and online validation, and integration of models into scalable product architectures. You'll help improve LLM-based workflows, including prompt design, retrieval‑augmented generation, vector search, guardrails, and response quality evaluation. You’ll also strengthen the engineering backbone around AI through CI/CD, monitoring, observability, testing, and model lifecycle automation so solutions are reliable, cost‑aware, secure, and ready for enterprise scale.

What you bring:

• You bring strong programming skills in Python, along with working knowledge of Java or Go, for building production‑grade services and APIs
• You have a solid understanding of machine learning fundamentals, including supervised and unsupervised methods such as classification, regression, clustering, ranking, and recommendation systems
• You have hands‑on experience with deep learning frameworks (e.g., PyTorch or TensorFlow) for model training, fine‑tuning, and inference
• You demonstrate strong capabilities in data preparation, feature engineering, data validation, and model evaluation using appropriate offline and online metrics
• You have experience building, deploying, and integrating ML models into production systems through batch, real‑time, or streaming pipelines
• You are familiar with generative AI concepts, including LLMs, embeddings, vector databases, prompt engineering, and retrieval‑augmented generation, and how to apply them in practical use cases
• You bring working knowledge of MLOps and modern data infrastructure, including experiment tracking, model versioning, CI/CD, and tools such as Spark, Kafka, Airflow, and feature stores
• You have experience operating ML systems in production, including monitoring for drift, latency, accuracy, cost, bias, and performing debugging and failure analysis to ensure reliability and business impact

About You

• You have 1-3+ years of experience in machine learning engineering, software engineering, or a related field, with a track record of deploying models into production
• You are passionate about building reliable, scalable ML systems and take ownership of delivering end‑to‑end solutions
• You balance experimentation with engineering rigor, making thoughtful trade‑offs to ensure models are both innovative and production‑ready
• You are a collaborative problem‑solver who thrives in ambiguous environments and is motivated by delivering measurable business impact

Where you belong:

You will be part of a growing team of AI and industry experts dedicated to serving customers across theKingdom of Saudi Arabia / United Arab Emirates. We are building a collaborative, high‑impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.

This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real‑world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer‑centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast‑evolving AI landscape.

About the team

We are a team of engineers passionate about building valuable, scalable AI frameworks that drive real business impact. We thrive on solving challenging problems, innovating with cutting‑edge technologies, and collaborating closely to deliver AI systems that are reliable, high‑performing, and ready for production. Our team values ownership, technical excellence, and creating solutions that stand the test of scale and complexity.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end‑to‑end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose‑driven and future‑focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

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 Recruiting Operations Team: [e-mail].

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. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

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

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Location: Dubai, Dubai, AE, 118353