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# Deep Learning Engineer

- **Company:** Deeprec Ai
- **Location:** Zaragoza, Spain (Remote available)
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Computer Vision, Distributed Computing Environment, Python (Programming Language), Machine Learning, Pytorch, Large Language Models, Deep Learning, Information Technology, Deployment Automation, HuggingFace
- **Published:** August 24, 2026
- **Apply:** https://www.buscojobs.com.es/deep-learning-engineer-en-zaragoza-ID-368563109

## About the Role

Master's or Ph.D. in Computer Science, Machine Learning, EE, Physics, or related field
3+ years hands?on experience training deep learning models from scratch
Expertise in model compression techniques and foundational architectures (CV & LLMs)
Strong Python & PyTorch skills; familiarity with HuggingFace, Lightning, DeepSpeed, or equivalent
Experience with large?scale distributed training and optimizing models for deployment
Preferred
Ph.D. with focus on efficient deep learning, compression, sparsity, NAS
Open?source contributions in ML/compression tools
Experience with hardware?aware model optimization

## Description

Direct message the job poster from DeepRec.aiA leading European deep-tech company in AI and quantum technologies is looking for a talented Deep Learning Engineer to join their team on a fixed-term contract ending June ****.This is an exciting opportunity to work on cutting?edge AI and LLM compression-reducing model sizes by up to 95% while cutting inference costs by *****%-impacting real?world AI deployments globally.What's on OfferCompetitive annual salarySigning bonus at incorporation + retention bonus at contract completionRelocation package if neededHybrid work: 3 days in?office, 2 days remoteFast?growing, Series B backed company at the forefront of deep techRole ResponsibilitiesDesign, train, and optimize LLMs and computer vision models end?to?endApply and develop state?of?the?art model compression techniques (pruning, distillation, quantization, low?rank decomposition)Build reproducible pipelines for large?model compression and evaluationConduct fine?tuning, empirical studies, and benchmark analysis for real?world deploymentCollaborate with cross?functional teams to integrate compressed models into productionRequired ExperienceMaster's or Ph.D. in Computer Science, Machine Learning, EE, Physics, or related field3+ years hands?on experience training deep learning models from scratchExpertise in model compression techniques and foundational architectures (CV & LLMs)Strong Python & PyTorch skills; familiarity with HuggingFace, Lightning, DeepSpeed, or equivalentExperience with large?scale distributed training and optimizing models for deploymentPreferredPh.D. with focus on efficient deep learning, compression, sparsity, NASOpen?source contributions in ML/compression toolsExperience with hardware?aware model optimizationContract: Fixed?term until June ****Seniority levelMid?Senior levelEmployment typeContractJob functionInformation Technology#J-*****-Ljbffr


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