Senior Foundation Model Scientist – Finance AI

BCO.BILBAO VIZCAYA ARGENTARIA; Madrid; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

BBVA in Madrid is seeking a Data Scientist with strong expertise in designing, training, adapting, and evaluating large-scale AI models. This senior role covers model architecture, training objectives, data preparation, distributed training, fine-tuning, evaluation, and production deployment, collaborating with engineers, researchers, data specialists, platform teams, and business stakeholders.

You will work across structured and unstructured data, investigate convergence and performance issues,

Formación

• 5+ years in leadership roles across technology, analytics, or AI-driven organisations.
• Experience with distributed compute and orchestration technologies.
• Independently own complex technical problems from investigation through implementation.
• Hands-on experience designing, training, or adapting large-scale models in research or production settings.
• Familiarity with financial datasets such as payments, transactions, credit information, risk indicators, or regulatory data.
• Knowledge of sequential modelling, GNN, LLM pre-training, architecture selection, data pipelines, distributed execution, optimization, and training stability.

Responsabilidades

• Define approaches for filtering, sampling, balancing, sequencing, and combining data from different banking domains.
• Design tokenisation, feature representation, masking, and sequence-generation strategies for financial information.
• Address characteristics of sensitive, sparse, imbalanced, and temporally ordered data.
• Detect and mitigate information leakage, historical bias, missing values, geographic variation, and changes in behaviour over time.
• Design, implement, and train models adapted to financial and banking information.
• Contribute to selection of architectures, objectives, training strategies, and representations.
• Work with structured and unstructured data sources.
• Investigate and resolve convergence, training stability, data quality, memory usage, and computational performance.
• Design reproducible experiments and evaluate alternatives with evidence and defined criteria.
• Develop adaptation strategies (continued pre-training, supervised fine-tuning, parameter-efficient methods) for financial use cases.

Conocimientos

Python

PyTorch

Transformer models

Distributed training

Data science

Experiment tracking

Memory optimization

Distributed compute

Educación

Bachelor's or Master’s in Computer Science / AI / Data Science

Herramientas

Docker

Kubernetes

Descripción del empleo

BBVA in Madrid is seeking a Data Scientist with strong expertise in designing, training, adapting, and evaluating large-scale AI models. This senior role covers model architecture, training objectives, data preparation, distributed training, fine-tuning, evaluation, and production deployment, collaborating with engineers, researchers, data specialists, platform teams, and business stakeholders.

You will work across structured and unstructured data, investigate convergence and performance issues,