Senior ML Engineer — Generative AI & Production Systems

TALENTMATE; Dubai; On-site; AED 350,000 - 550,000; Full time

Job summary

SAP is seeking an experienced software and ML leader to design and deliver production-grade AI systems in the UAE. You’ll own architecture across data pipelines, training workflows, and model-serving infrastructure, with a focus on performance, reliability and cost.

You’ll collaborate with engineers across NLP, ranking and recommendation, mentoring others and shaping governance, evaluation, and responsible AI practices. Join a global cloud company that values learning and impact.

Qualifications

• 7-9+ years of software engineering and ML experience with production AI systems.
• Strong depth in Python and at least one of Java or Go, plus ML/DL expertise.
• Hands-on with PyTorch/TensorFlow and ML tooling for end-to-end pipelines.
• Experience with embeddings, vector databases, and RAG-style architectures.
• Proficient in MLOps, CI/CD, and cloud-native ML platforms; governance awareness.

Responsibilities

• Lead design and delivery of production-grade ML and generative AI systems at scale.
• Own architecture for data pipelines, training workflows, and model serving.
• Mentor engineers and establish reusable patterns and platform capabilities.

Skills

Python

Java

Go

Machine learning

Optimization techniques

ML Systems

PyTorch

TensorFlow

scikit-learn

Embeddings

Vector databases

RAG pipelines

MLOps

Platform engineering

Distributed systems

Cloud-native ML platforms

Model evaluation

Responsible AI

Job description

SAP is seeking an experienced software and ML leader to design and deliver production-grade AI systems in the UAE. You’ll own architecture across data pipelines, training workflows, and model-serving infrastructure, with a focus on performance, reliability and cost.

You’ll collaborate with engineers across NLP, ranking and recommendation, mentoring others and shaping governance, evaluation, and responsible AI practices. Join a global cloud company that values learning and impact.