AI Engineer

on large-scale banking data* Develop fine-tuning/adaptation strategies (supervised fine-tuning, LoRA, parameter-efficient methods)* Build and maintain cloud infrastructure for large-scale training (AWS/Azure, Docker, Kubernetes/SLURM)* Create evaluation frameworks with task-specific benchmarks, fairness checks, and regulatory alignment checks* Define data curation, preprocessing, and tokenization strategies for financial data* Collaborate with risk, compliance, legal, and product teams to ensure regulatory-ready production deployment* Stay current with frontier AI research and translate advances into roadmap* Contribute to external scientific community through publications and partnerships* Possibly visit Madrid office to support collaborationResponsabilidades* 5 to 10 years of experience in ML product development or AI research* Expertise in foundation model pre-training (architecture, data pipelines, distributed training)* Hands-on xcskxlj experience with full fine-tuning and

parameter-efficient methods (LoRA)* Experience setting technical direction and leading engineers* Designing and operating cloud infrastructure for large ML workloads (AWS/Azure, Docker, Kubernetes/SLURM)* Strong Python and PyTorch skills* Ability to communicate findings to risk officers, regulators, and leadership* Fluent in English and SpanishRequisitos principales* hybrid work model* learning platform access* competitive rewards and bonuses* BeHealthy wellness program* childcare support* Santander Contigo advisory services