Data Scientist specialized in Machine Learning and Generative AI at BBVA AI Factory. Collaborating with experts to deliver innovative AI solutions for the banking industry.
Responsibilities
Collaborate with a diverse group of experts to deliver best-in-class solutions for the agentic ecosystem
Propose, ideate and develop production-ready components that bring the state of the art in AI to BBVA
Present findings and recommendations to stakeholders across the organization
Work closely with product managers, engineers, and designers to implement data-driven solutions
Guide and mentor less experienced team members to foster growth and success
Ensure all deliverables meet Advanced Analytics governance standards and best practices
Requirements
2+ years of experience working as a data scientist in the LLM and agentic spaces
Advanced technical knowledge of LLMs, including model optimization, agent design, evaluation and embedding elicitation
Methodological approach to the evaluation of performance and behavioural metrics, biases and risks of AI solutions
Excellent ability to translate complex technical concepts into actionable business insights
Expertise in Python, statistical modeling, and machine learning, with proficiency in the traditional data stack (spark, sklearn etc) and the agentic stack (langgraph, agents sdk, etc)
Deep knowledge of a broad set of machine learning techniques applied to solve complex business problems
Knowledge of ethical AI principles, data privacy laws (like GDPR, CCPA)
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