Job Description

AI/ML Solutions Architect – Distributed Training & GPU Infrastructure

Location: Remote from anywhere in Europe

Total compensation up to ~$250 (base + variable), depending on level and experience

Join a fast-moving AI infrastructure team working on the cutting edge of large-scale ML workloads. This role is ideal for engineers who enjoy solving deep technical challenges in distributed training, multi-GPU systems, and scalable AI inference infrastructure. You will work directly with AI-focused clients, helping them get the most out of modern GPUs (H100, B200, etc.) and ML frameworks such as PyTorch (and JAX in some environments).

Team & Responsibilities

Work alongside senior AI and infrastructure engineers building large-scale GPU platforms. As part of the customer solutions team, you will:

  • Design and validate production-grade distributed training (primary) and large-scale inference architectures on large GPU ...

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