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Deep learning engineer – model compression (zaragoza)

Zaragoza
European Tech Recruit
Modelo
Publicada el 14 enero
Descripción

Deep Learning Engineer – Model Compression - Fixed Term contract - LLMs / GenAI

Are you passionate about pushing the boundaries of AI?
Join our client and help design, train, and optimize cutting-edge deep learning models, including LLMs and computer vision architectures.

In this role, you will apply advanced model compression techniques such as pruning, distillation, quantization, and low-rank factorization to make large-scale AI models faster, smaller, and more efficient.

These are fixed term contracts, initially until June 2026.
You will be required onsite in Zaragoza 3 days per week and will receive a base salary, plus bonus and retention bonus (and relocation assistance if required)

What you'll do:
Lead end-to-end model training, from dataset design to architecture and evaluation
Apply state-of-the-art model compression strategies across GPU, CPU, and edge devices
Fine-tune and adapt LLMs for domain-specific tasks
Build scalable, reproducible ML pipelines and optimize models for deployment
Conduct experiments, ablations, and error analysis to improve model performance

What we're looking for:
Master's or PhD in Computer Science, Machine Learning, Electrical Engineering, or related field
3+ years hands-on experience training deep learning models from scratch
Strong expertise in model compression (pruning, distillation, quantization, low-rank factorization)
Proficiency with Python, PyTorch, and modern ML stacks (HuggingFace Transformers, Lightning, DeepSpeed, Accelerate, or NeMo)
Experience with CV or LLM model development and large-scale distributed training

Why join us:
Work on pioneering AI and quantum technologies
Shape the future of LLMs and computer vision models
Collaborate with a highly skilled, cross-functional team
Hybrid work model with flexibility across Barcelona, Madrid, or Zaragoza

If you're ready to make a real impact in AI and model optimization, we'd love to hear from you.

In accordance with local employment laws, applicants must have current, valid authorisation to work in Spain at the time of application.

We are unable to sponsor employment visas for this role. Applications from individuals without existing work authorisation for Spain cannot be considered.

If this sounds interesting and you'd like to learn more, click the link below to apply or email me with a copy of your CV on -

By applying to this role you understand that we may collect your personal data and store and process it on our systems.

For more information please see our Privacy Notice (https:
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Inicio > Empleo > Empleo Cultura > Empleo Modelo > Empleo Modelo en Zaragoza > Deep Learning Engineer – Model Compression (Zaragoza)

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