ML Engineer: Production AI & MLOps

SAP; Dubai; On-site; AED 180,000 - 300,000; Full time

Job summary

SAP is hiring for a machine learning engineering role in the United Arab Emirates. You will build and operationalize ML/AI capabilities from idea to production, delivering measurable product value.

You will develop data pipelines, training and inference workflows, model-serving services, APIs, and evaluation frameworks across use cases like recommendation, forecasting, and NLP. Collaboration and robust ML lifecycle practices are essential.

Qualifications

• 1-3+ years of experience in ML engineering, software engineering, or related field.
• Proven ability to deploy models into production and maintain reliable ML systems.
• Strong Python programming and production-grade API development skills.

Responsibilities

• Build and operationalize ML/AI capabilities from concept to production with measurable value.
• Develop data move pipelines, training and inference workflows, model-serving services and APIs.
• Implement evaluation frameworks, prompt design and retrieval-augmented generation; integrate models into scalable architectures.

Skills

Python

Java/Go

ML fundamentals

Model deployment

MLOps

CI/CD

Data pipelines

Prompt engineering

Education

Bachelor's in CS or related

Tools

PyTorch

TensorFlow

Spark

Kafka

Airflow

Vector databases

Job description

SAP is hiring for a machine learning engineering role in the United Arab Emirates. You will build and operationalize ML/AI capabilities from idea to production, delivering measurable product value.

You will develop data pipelines, training and inference workflows, model-serving services, APIs, and evaluation frameworks across use cases like recommendation, forecasting, and NLP. Collaboration and robust ML lifecycle practices are essential.