Senior ML Infrastructure Engineer - Scalable Production DL

Halian; Abu Dhabi; On-site; AED 240,000 - 360,000; Full time

Job summary

Halian is looking for a professional to design and build scalable machine learning infrastructure. The role involves optimizing GPU-based training environments and managing the full lifecycle of machine learning models.

The ideal candidate will have over 5 years of experience in ML infrastructure, deep proficiency in Python, and hands-on experience with distributed training systems. Familiarity with tools such as AWS, GCP, and CI/CD workflows is essential.

Qualifications

• 5+ years of experience building ML infrastructure for production-grade deep learning systems.
• Deep hands-on experience with distributed training at scale.
• Experience operating GPU clusters on AWS and/or GCP.

Responsibilities

• Design, deploy, and operate GPU-based training environments.
• Optimize distributed training frameworks for large-scale training.
• Implement experiment tracking and model management systems.

Skills

Python

Distributed training systems experience

C++

Tools

Kubernetes

AWS

GCP

MLflow

Weights & Biases

Job description

Halian is looking for a professional to design and build scalable machine learning infrastructure. The role involves optimizing GPU-based training environments and managing the full lifecycle of machine learning models.

The ideal candidate will have over 5 years of experience in ML infrastructure, deep proficiency in Python, and hands-on experience with distributed training systems. Familiarity with tools such as AWS, GCP, and CI/CD workflows is essential.