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.Excited to grow your career? BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.Learn more about the area: We're a group of people with a passion for cutting edge technology, mutual learning and innovative problem solving. We strive to bring the opportunities that Artificial Intelligence offers to the financial industry.At AI Factory, we are excited to welcome a Data Scientist to our team, dedicated to harnessing the power of LLMs in the financial industry. In this role, you will be at the forefront of managing and executing significant analytical projects within the DATA area. Your responsibilities will include coordinating with team members, aligning with our strategic objectives, and solving complex problems by working closely with cross-functional teams. You will play a key role in identifying business opportunities and applying your data science expertise to these challenges. Ensuring that all deliverables comply with Advanced Analytics discipline governance standards and best practices is an essential aspect of your role. Additionally, your experience will be vital in mentoring and guiding less experienced team members, helping them to grow in their roles and contributing to the overall success of our team.About the job: Tasks Experimental development of LLM-based analytical solutions and use cases:Ability to assess and select appropriate LLM models for each need.Construction of knowledge bases for the models, e.G. domain documents, unstructured information, etc.Iterative construction of partial or complete analytical solutions, possibly integrating inferences from different models.Integration of the product and evaluation of its performance according to methodology.Execution of sprint-by-sprint analytical experimentation cycles.Methodology approach for A/B testing and definition of requirements for experiments.Execution of test plans, including the definition, construction and obtaining of analytical metrics (performance, cognitive, technical, and business) capable of evaluating LLMs in both discriminative and generative modes.Training Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.Specific Knowledge Data lifecycle management, including identification, prior exploration (EDA), transformation and adaptation to the model/problem, definition of training datasets, validation, testing, dataset tracing, etc.Experience in the life cycle of ML models, including research, selection, adaptation, testing, training and monitoring/retraining.Knowledge and ability to define the metrics that would apply to each type and case
