Senior ML Systems Engineer: End-to-End Production AI

Digital Waffle; España; On-site; EUR 90,000 - 140,000; Full time

Job summary

Digital Waffle seeks an AI infrastructure owner to bridge research and production. You will turn ideas into scalable systems that run reliably at scale, from raw data to deployed models.

Day-to-day work includes building end-to-end pipelines, adapting models with LoRA/QLoRA, and architecting low-latency inference systems while optimizing GPU usage. You will collaborate with application engineers to embed ML into backend, mobile, and desktop platforms.

Qualifications

• Deep understanding of deep learning and transformer architectures.
• Proven experience training, fine-tuning, or shipping large-scale models in production.
• Strong with at least one major ML framework (PyTorch, JAX) and quick to pick up others.
• Familiar with distributed training and inference tooling: DeepSpeed, FSDP, Megatron, Ray.
• Engineering discipline: code that's readable, robust, and maintainable.

Responsibilities

• Bridge research and production by turning ideas into scalable, reliable systems.
• Build end-to-end ML pipelines from data to deployed models.
• Architect inference systems under latency and cost constraints.
• Create data pipelines for high-quality synthetic and real training data.
• Own deployment: GPU optimisation, quantisation, memory efficiency, scaling.
• Collaborate with application engineers to integrate ML into backend, mobile, and desktop.

Skills

Deep learning

Transformer architectures

PyTorch

JAX

Distributed training

GPU optimisation

Ownership

Tools

DeepSpeed

FSDP

Megatron

Ray

TensorRT-LLM

Job description

Digital Waffle seeks an AI infrastructure owner to bridge research and production. You will turn ideas into scalable systems that run reliably at scale, from raw data to deployed models.

Day-to-day work includes building end-to-end pipelines, adapting models with LoRA/QLoRA, and architecting low-latency inference systems while optimizing GPU usage. You will collaborate with application engineers to embed ML into backend, mobile, and desktop platforms.