Model Deployment Engineer

Edge Deployment Engineer (AI & Embedded Systems) | AI Start-up | fixed-term Contract

Join a European deep-tech leader in quantum and AI.A well-funded, fast-growing company backed by major global investors with its groundbreaking technology is already transforming AI, compressing large language models by up to 95% and cutting inference costs by 50 80%.

This is your chance to be part of a team often described as a quantum-AI unicorn in the making.

This is a Hybrid opportunity in Zaragoza. It is a fixed-term contract to work until 30th June 2026

What You'll Do :

As an Edge Deployment Engineer, you will be instrumental in bridging the gap between cutting-edge AI research and efficient, real-world execution. You will specialise in optimising and deploying highly compressed Machine Learning and Large Language Models onto resource-constrained, low-latency devices.

As a Quality Control Engineer, you will :

• Implement and optimise deep-learning models for edge hardware.
• Reduce model size and latency using compression / quantisation.
• Work hands-on with embedded systems and systems programming.
• Utilise key inference optimisation frameworks (e.G., TensorRT, vLLM).
• Write high-performance code in Python, C, or C++.
• Conduct performance profiling on diverse embedded architectures (ARM, GPUs).
• Integrate ML models into final products through team collaboration.
• Maintain development standards : Git, testing, and CI / CD pipelines.

Required Qualifications

Preferred Qualifications

Perks & Benefits :

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