Senior AI Platform Engineer — GPU, MLOps & Kubernetes

Revolut Ltd; Abu Dhabi; On-site; AED 300,000 - 500,000; Full time

Job summary

Revolut Ltd in the UAE is seeking a Senior AI Platform Engineer to build serverless model training and inference platforms on GPU infrastructure. You’ll design self-service tooling and orchestration for scalable ML workloads, enabling data scientists and engineers to move fast.

Ideal candidates have strong Python backend experience, Kubernetes proficiency, and hands-on cloud infra skills, plus exposure to Flyte or Ray for distributed execution.

Qualifications

• Proven Python backend experience at scale.
• Experience with ML platforms for training or inference on GPUs.
• Strong Kubernetes and cloud infra expertise.
• Familiar with Flyte or Ray for distributed execution.

Responsibilities

• Design self-service platforms for model training, distributed training, and inference on shared GPU infrastructure.
• Develop APIs, SDKs, and workflows that automate workload submission, infrastructure provisioning, and execution.
• Build orchestration and distributed execution capabilities using Flyte, Ray, or equivalent technologies.
• Implement workload scheduling, queueing, resource allocation, and autoscaling across Kubernetes-based GPU environments.
• Build reliable workload lifecycle management, including checkpointing, retries, failure recovery, and cancellation.
• Establish monitoring, multi-tenant isolation, and cost visibility to improve platform reliability and GPU utilisation.

Skills

Python backend

Kubernetes

Cloud infrastructure

Distributed systems

Observability

Fault tolerance

Education

STEM degree

Tools

Flyte

Ray

Job description

Revolut Ltd in the UAE is seeking a Senior AI Platform Engineer to build serverless model training and inference platforms on GPU infrastructure. You’ll design self-service tooling and orchestration for scalable ML workloads, enabling data scientists and engineers to move fast.

Ideal candidates have strong Python backend experience, Kubernetes proficiency, and hands-on cloud infra skills, plus exposure to Flyte or Ray for distributed execution.