IAG GBS LIMITED SUCURSAL EN ESPAÑA Madrid (Madrid) T/2024/46197 Solicita ya el acceso a una beca de prácticas en IAG GBS LIMITED SUCURSAL EN ESPAÑA ¿Qué ofrece la empresa?
1 plaza de prácticas en IAG GBS LIMITED SUCURSAL EN ESPAÑA de 12 meses para incorporarse en noviembre 2024 Bolsa de ayuda de 1.200,00€ brutos mensuales 7h.
diarias en Jornada completa Centro de prácticas en España: Calle Martinez Villergas, 49 Madrid (Madrid) La beca incluye matrícula en Máster de Formación Permanente en Productividad, Gestión Adaptativa e Innovación (Universidad Nebrija) ¿Qué perfil busca la empresa?
Estudiante universitario de grado a falta de TFG/PFC o Estudiante universitario de grado a falta de 1 asignaturas o Estudiante universitario de grado a falta de 2 asignaturas o Estudiante universitario de grado a falta de 3 asignaturas o Titulado universitario de grado o Titulado universitario con máster: Grado en Ingeniería Matemática en Ciencia de Datos, Grado en Business Data Analytics, Grado en Ingeniería Informática - Ingeniería del Software, Grado en Ingeniería Informática en Ingeniería del Software, Grado en Ingeniería en Tecnologías de la Información, Grado en Ingeniería Informática de Sistemas, Grado en Ingeniería de Sistemas de Información, Grado en Matemáticas e Informática Titulado FP grado superior Competencias: Habilidad para trabajar en un contexto Internacional, Capacidad de aplicar los conocimientos a la práctica, Orientación al logro, Preocupación por la calidad, Compromiso ético, Iniciativa y espíritu emprendedor, Capacidad para trabajar de forma autónoma, Liderazgo, Trabajo en equipo, Toma de decisiones/resolución de problemas, Capacidad para generar nuevas ideas, Adaptación al cambio, Capacidad crítica y autocrítica, Gestión de la información, Capacidad de aprender, Habilidades básicas de manejo del ordenador, Conocimiento de una lengua extranjera, Comunicación oral y escrita en lengua castellana, Conocimientos básicos de la profesión, Planificación y gestión del tiempo, Capacidad de análisis y síntesis, Motivación, Habilidades interpersonales.
Plan de formación propuesto IAG Tech is a community of IT and digital professionals from across the International Airlines Group (IAG).
We drive the technology behind some of the biggest and most successful brands in global aviation, including British Airways, Aer Lingus, and Iberia.
Brought together in 2019, we are a unique community with a shared vision to deliver Technology Excellence and be recognised as industry leaders in the use of technology.
Our mission is to delight customers, enable employees, accelerate business performance, protect our business and increase shareholder value, through the innovative and agile use of technology and data.
We use product-centric delivery teams using agile methods to implement new capabilities at pace and maximise business outcomes.
With a relentless focus on improving system performance and stability, we continually strive to find new and better ways to innovate and support the Group.
In this opportunity as a Tech Graduate, you will meet our business, develop your professional and personal skills, and learn day by day how is a corporate work environment.
If you are ready to start your professional career in the Tech world, this is your opportunity!
Purpose of the role + Responsibilities We are seeking a highly motivated and detail-oriented GenAI Use Case Development Intern to join our team.
In this role, you will support the development and implementation of Generative AI use cases, working closely with our innovation and development teams to leverage large language models (LLMs) and other AI technologies.
You will have the opportunity to gain hands-on experience in creating solutions with AI, collaborating with internal stakeholders to identify opportunities for AI-driven applications.
Working in partnership with IAG Tech and the business to: Collaborate with cross-functional teams to design and implement use cases that leverage Generative AI (GenAI) technologies.
Assist in programming and testing AI models, particularly large language models (LLMs), to solve business challenges.
Develop and maintain technical documentation for AI-based applications and use cases.
Work closely with clients and stakeholders to understand business needs and identify opportunities for applying GenAI.
Stay current with the latest developments in AI, machine learning, and NLP to continuously improve project outcomes.
People Specification Qualifications Bachelor's degree in Computer Science, Data Analytics, or related field Strong interest in artificial intelligence, machine learning, and natural language processing (NLP).
Familiarity with programming languages such as Python or other relevant AI/ML frameworks (ie.
Java, node.js).
Knowledge of AI models, including experience or coursework in training and fine-tuning language models (LLMs) is a plus.
Ability to work collaboratively with technical and non-technical teams.
Bonus Points Qualifications and knowledge in Scrum or Kanban.
Recognised Agile qualifications (SAFe Scrum Master, Certified Scrum Master (CSM) or Professional Scrum Master I (PSM I).
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