Production-Grade AI Engineer (Cloud-Native)

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

Job summary

SAP Dubai is seeking an entry-level AI Engineer to contribute to the design, development, and operation of AI-native enterprise applications. You will work in fast-moving delivery teams, applying AI/ML concepts under guidance from senior engineers and technical leads to solve real business problems.

You will grow hands-on in Python, cloud-native environments, and ML frameworks such as TensorFlow and PyTorch, while collaborating across cross-functional teams on production-grade solutions for

Qualifications

• Solid foundational software engineering skills with Python proficiency and cloud-native experience.
• Growing understanding of AI/ML concepts, including LLMs, ML frameworks, and API-based AI services.

Responsibilities

• Contribute to design, development, and operation of AI-native enterprise apps.
• Work within customer projects and delivery teams to understand processes and needs.
• Implement features and integrations under guidance of senior engineers, upholding code quality.
• Support prototyping, testing, and iteration of AI solutions in customer environments.
• Participate in code reviews and design sessions to develop engineering skills.
• Assist with monitoring and improving deployed solutions for reliability.
• Contribute to documentation and reusable components for team productivity.

Skills

Python

Cloud-native

AI/ML concepts

Data pipelines

MLOps

Git

Docker

CI/CD pipelines

AWS/Azure/GCP

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

SAP Dubai is seeking an entry-level AI Engineer to contribute to the design, development, and operation of AI-native enterprise applications. You will work in fast-moving delivery teams, applying AI/ML concepts under guidance from senior engineers and technical leads to solve real business problems.

You will grow hands-on in Python, cloud-native environments, and ML frameworks such as TensorFlow and PyTorch, while collaborating across cross-functional teams on production-grade solutions for