Sr Data Scientist / Ai Engineer – Ai Lab (ai Factory, Data)

BBVA

Madrid, Spain
On-site
Foundational models
Large language models (llms)
Agent systems
BBVA is seeking a Senior Data Scientist / AI Engineer for its AI Lab in Madrid, focused on developing advanced AI solutions using foundational models and Large Language Models (LLMs). The ideal candidate should possess a strong blend of machine learning engineering and natural language processing skills, with experience in model evaluation, experimentation, and integration in production environments

Job Summary

  • The AI Lab team works on the full lifecycle of advanced AI solutions, from experimental model evaluation to building prototypes and integrating them into production environments.
  • Responsibilities include evaluating foundational models, designing and executing model evaluation plans with technical and business metrics, and adapting generative models through fine-tuning.
  • The role involves designing and developing analytical solutions based on LLMs, agent systems, and integrating these models with bank systems and operations.

Matching Summary

Match Score: 85

BBVA is seeking a Senior Data Scientist / AI Engineer for its AI Lab in Madrid, focused on developing advanced AI solutions using foundational models and Large Language Models (LLMs). The ideal candidate should possess a strong blend of machine learning engineering and natural language processing skills, with experience in model evaluation, experimentation, and integration in production environments.

Skills & Requirements

Must-have

  • foundational models
  • Large Language Models (LLMs)
  • agent systems
  • Machine Learning Engineering (MLE)
  • Machine Learning / NLP
  • Python programming
  • AWS cloud environments
  • MLOps practices

Nice-to-have

  • Typescript / NodeJS experience
  • financial applications
  • team spirit
  • analytical mindset
  • flexibility and adaptation

Key Requirements

  • Hybrid profile of Machine Learning Engineering (MLE)
  • Solid experience in Machine Learning / NLP
  • Experience in full ML and NLP project lifecycle
  • Experience developing production analytical solutions
  • Experience with MLOps
  • Experience working in cloud environments, especially AWS
  • Experience using Git and CI/CD
  • Experience with LLM and agent orchestration frameworks
  • Experience with code agents

Work Rights

Not specified

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