Deep Learning Enginer (Barcelona)

Deep Learning Enginer (Barcelona)

04 ago
|
European Tech Recruit
|
Barcelona

04 ago

European Tech Recruit

Barcelona

p h3Overview /h3 pQuantum Computing AI software company based in Barcelona seeks a Deep Learning Engineer. This is a fixed-term contract until June 2026. /p h3Responsibilities /h3 ul liLead the end-to-end design, training, optimization, and evaluation of deep learning models (LLMs and computer vision), from data preparation through large-scale distributed training and deployment. /li liResearch, apply, and advance state-of-the-art model compression techniques—including pruning, distillation, quantization, and architectural optimisation—to balance accuracy, latency, cost, and hardware constraints. /li liBuild and maintain reproducible, automated pipelines for large-model training and compression, incorporating ablation studies, benchmarking, and systematic evaluation. /li liDevelop and curate datasets and fine-tuning strategies (e.g., SFT, preference optimisation, prompt engineering) tailored to domain-specific and real-world use cases. /li liIntegrate compressed models into production systems, collaborating closely with cross-functional teams while maintaining high engineering standards, documentation, and code quality.



/li /ul h3Qualifications /h3 ul liMaster’s or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, Physics, or a closely related technical field. /li li3+ years of hands‑on experience training deep learning models from scratch, including architecture design, data pipelines, training loops, and distributed training. /li liStrong expertise in model compression methods (pruning, distillation, low-rank factorisation, quantization) and performance analysis through ablations and error diagnostics. /li liDeep understanding of modern model architectures (LLMs and/or computer vision), training dynamics, optimisation techniques, and the full model lifecycle. /li liProficiency with Python, PyTorch, and modern ML tooling, along with experience building scalable, reproducible training pipelines and optimizing models for real-world deployment constraints. /li /ul pIf this role is of interest please apply directly on LinkedIn or send a copy of your CV to . /p /p #J-18808-Ljbffr

📌 Deep Learning Enginer (Barcelona)
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