Python Engineer — AI Platform & GPU ML Backend

Revolut

Portugal

Presencial

EUR 65 000 - 95 000

Tempo integral

Há 3 dias
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Resumo da oferta

Revolut is seeking a Python Engineer to design and operate scalable backend services for AI workflows. You will work on GPU-based model training and inference, profiling workloads and optimizing performance across multi-node and multi-GPU environments.

You will implement efficient execution strategies with mixed precision, monitor observability, and guide engineering teams on suitable frameworks and GPU configurations.

Qualificações

  • Designing and operating scalable backend systems in production environments (Linux, Kubernetes).
  • Experience profiling and optimising ML workloads on NVIDIA GPUs (PyTorch or equivalent).
  • Strong understanding of GPU execution concepts and multi-GPU communication.
  • Degree in STEM with CS fundamentals and emphasis on testing and observability.

Responsabilidades

  • Design, build, and maintain scalable backend services for AI lifecycle and GPU-based workloads.
  • Profile and optimise model training/inference latency, throughput, and stability.
  • Improve GPU compute utilisation, memory, and bandwidth across multi-tenant environments.
  • Implement mixed-precision, efficient batching, and memory-efficient attention techniques.
  • Create repeatable benchmarking and regression tests and guide teams on frameworks and GPU types.

Conhecimentos

Python
Backend design
System design
ML profiling
Observability

Formação académica

Degree in STEM
Equivalent experience

Ferramentas

Linux
Kubernetes
CUDA
PyTorch
Docker

Descrição da oferta de emprego

Revolut is seeking a Python Engineer to design and operate scalable backend services for AI workflows. You will work on GPU-based model training and inference, profiling workloads and optimizing performance across multi-node and multi-GPU environments.

You will implement efficient execution strategies with mixed precision, monitor observability, and guide engineering teams on suitable frameworks and GPU configurations.

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