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0Becas Telefónica Logroño
NuevaTelefónica
Logroño, ES
Becas Telefónica Logroño
Telefónica · Logroño, ES
. Cloud Coumputing IoT DevOps QA Machine Learning Salesforce
Enviar candidatura ahora »
Fecha: 5 abr 2026
Ubicación: LOGROÑO, ES
Empresa: Telefónica
BECAS TGT
¿Te apasiona la tecnología y estás en búsqueda de una oportunidad con la que potenciar tu desarrollo profesional?
No dejes escapar las becas de TGT….
Telefónica Global Technology (TGT) es una filial del Grupo Telefónica que proporciona servicios de Sistemas de Información, servicios de Desarrollo, Implantación, Evolución, Mantenimiento, Integración y Consultoría de sistemas especializados en el ámbito de aplicaciones SAP, Appian, Salesforce, BMC, Celonis y Puesto de Trabajo, entre otros.
Es decir, se encarga de la gestión de las Aplicaciones Globales de Telefónica dando soporte a todas las jurídicas del Grupo Telefónica, así como dotar de estos mismos servicios también al mercado B2B Externo.
Los proyectos que se realizan son muy variados, pero todos con un indicador común: el objetivo final es ser el asesor de confianza a alto nivel de nuestros clientes y generar un alto impacto con los proyectos en los que nos involucramos.
LUGAR DE TRABAJO: Logroño.
¿TE IDENTIFICAS? ¡SÚMATE AL RETO!
FORMACIÓN:
Ingeniería Técnica, Ingeniería Informática, Ingeniería de Telecomunicaciones, Administración y Dirección de Empresas, Física, Matemáticas o equivalentes.
CONOCIMIENTOS:
Programación de aplicaciones web e Integración de sistemas.
EXPERIENCIA:
¡Buenísimas noticias! No se requiere experiencia, solo muchas ganas.
IDIOMAS:
Inglés.
¿QUÉ PERFILES BUSCAMOS?
- Automatización Procesos.
- Data Science.
- DevOps.
- Full Stack.
- Finanzas / Contabilidad.
- Machine Learning / IA.
- QA, Habilidades y Tecnologías.
- Visualización de datos.
- Gestión Negocio.
- Blockchain.
- Software Development.
- Pasión por la tecnología.
- Proactividad.
- Muchas ganas de asumir retos.
- Colaboración y trabajo en equipo.
En TGT, sabemos que el talento joven es el motor del futuro. Por eso, hemos diseñado un programa de becas que no solo te ofrece una oportunidad profesional, sino una experiencia transformadora.... Por ello, estas son algunas de las cosas que te esperan:
- Flexibilidad Horaria: Puedes elegir entre 25 o 35 horas semanales, adaptándonos a tus necesidades y compromisos académicos.
- Apoyo Económico: Sabemos que estudiar y trabajar puede ser un reto, por eso te ofrecemos una ayuda al estudio para que puedas concentrarte en lo que realmente importa: tu desarrollo profesional.
- Duración y Oportunidades: La beca tiene una duración inicial de 6 meses, con la posibilidad de renovar por otros 6 meses.
- Modalidad Híbrida: Basada en la confianza y objetivos globales. Contamos con flexibilidad para trabajar en un equipo dinámico y creativo.
- Proyectos Reales: Participarás en proyectos innovadores que tienen un impacto real en la empresa y en nuestros clientes. ¡Tu trabajo marcará la diferencia!
- Formación Continua: Acceso a cursos y formaciones para que sigas aprendiendo y mejorando tus habilidades. ¡Siempre apostando por tu desarrollo!
- Ambiente Colaborativo: Únete a un equipo de profesionales con pasión y talento, donde la colaboración y el intercambio de ideas son la clave del éxito.
Cuando te unes a Telefónica
Te unes a casi 100 años de historia, un equipo de 106 nacionalidades presentes en más de 35 países. Te unes a un equipo que trabaja por conectar a las personas allá dónde estén, sin fronteras. Un equipo que está liderando la revolución digital con la ilusión del primer día en todos nuestros negocios, creando el mejor ecosistema digital para nuestros clientes: Red, IoT, Cloud, Ciberseguridad, Innovación etc. En Telefónica tienes todo lo que necesitas para crear la mejor versión de ti mismo. Necesitamos gente como tú que se sume a este gran reto, que quiera crear la Telefónica del mañana.
En Telefónica apostamos por las nuevas formas de trabajo y somos líderes en la implementación de la Desconexión Digital bajo el principio “Desconecta para Reconectar”.
Te unes a una compañía cuya actividad se rige por su código ético, Nuestros Principios de Negocio Responsable. Buscamos personas que se identifiquen con los mismos, que nos ayuden a tomar decisiones basadas en la integridad, el compromiso y la transparencia y que se comprometan con una gestión ética, promoviendo un desarrollo social y ambiental más justo y sostenible.
#SomosDiversos
Estamos convencidos de que los equipos diversos e inclusivos son más innovadores, transformadores y consiguen mejores resultados. Por ello promovemos y garantizamos la inclusión de todas las personas sin importar género, edad, orientación e identidad sexual, cultura, discapacidad o cualquier otra condición personal.
Enviar candidatura ahora »
Sanofi
Barcelona, ES
Product Line Manager – Global Data and AI Platforms
Sanofi · Barcelona, ES
. Agile Azure Cloud Coumputing AWS Machine Learning
- Location: Barcelona
We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.
Sanofi has recently embarked on a vast and ambitious digital transformation program. A cornerstone of this roadmap is accelerating our data transformation and the adoption of artificial intelligence (AI) and machine learning (ML) solutions to boost R&D, manufacturing, and commercial performance—bringing better drugs and vaccines to patients faster to improve health and save lives.
About The Job
As Product Line Manager – Global Data & AI Platforms within our Digital Data & AI organization, you will define and lead the strategy, roadmap, and execution of enterprise platforms that enable teams across Sanofi to build, deploy, and scale data and AI solutions.
You will lead a team of Product Owners and collaborate closely with engineers, data scientists, and business partners to deliver scalable platform products used by thousands of technical users worldwide. Together, you will accelerate innovation and help transform Sanofi into an AI-first biopharma company.
Working in cross-functional agile pods, you’ll operate at the forefront of Sanofi’s digital transformation—building global platforms that empower teams to turn data into insights, products, and scientific breakthroughs.
Main Responsibilities
- Define product vision and roadmap – Lead the strategy for a portfolio of global Data & AI platform products aligned with Sanofi’s enterprise goals.
- Lead execution and delivery – Manage product backlogs, define release strategies, and partner with engineering teams to deliver scalable, secure, and compliant platforms.
- Champion technical users – Represent the needs of data engineers, ML engineers, and data scientists, translating user needs into product capabilities that accelerate solution development.
- Lead and develop your team – Mentor Product Owners and collaborate daily with engineers, data scientists, and platform teams in agile environments.
- Drive platform adoption – Partner with teams across Digital and the business to increase usage and value of platform products globally.
- Ensure enterprise standards – Deliver platforms that meet requirements for security, compliance, reliability, and scalability.
- Measure impact and improve continuously – Define KPIs, track product performance, and use data and feedback to continuously enhance the platform.
- Stay ahead of innovation – Evaluate emerging data and AI technologies to introduce capabilities that accelerate time-to-value for users.
- Experience: Strong background in digital product management, ideally for data, cloud, or AI platform products, with experience leading product teams in agile environments. Experience building scalable, self-service platforms at enterprise scale is a plus.
- Soft skills: Excellent communicator who can influence diverse stakeholders and align teams around a common vision. Collaborative leader who can drive outcomes in complex, cross-functional environments. Curious mindset with strong problem-solving abilities.
- Technical skills: Solid understanding of data platforms, cloud ecosystems (AWS, Azure), and AI/ML workflows. Familiarity with modern data architectures (data lakes, Snowflake), DataOps, MLOps, and cloud-native patterns is highly valued.
- Business acumen: Ability to connect business priorities with technical solutions and prioritize competing demands in a multinational environment.
- Education: Degree in engineering, computer science, data, or a related field (or equivalent experience).
- Languages: English required.
- Lead transformational impact – Help shape the platforms powering Sanofi’s AI-first future and enable breakthrough healthcare innovations.
- Work at global scale – Build platforms used by thousands of technical users across research, manufacturing, and commercial teams.
- Collaborate with world-class experts – Work alongside leading engineers, data scientists, and AI specialists.
- Leading-edge technology – Build products using cutting-edge technologies across cloud, data platforms, and AI ecosystems.
- Career growth – Develop your leadership skills in an environment that values learning, experimentation, and mentorship.
- Meaningful mission – Contribute to a global organization dedicated to improving people’s lives through science.
Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.
At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.
#BarcelonaHub #SanofiHubs
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Santander
Madrid, ES
Scientist Responsible AI - CDAIO
Santander · Madrid, ES
. Python Machine Learning
IT STARTS HERE
Santander (www.santander.com) is evolving from a high-impact global brand to a technology-driven organization, and our people are at the heart of this journey. Together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible.
This is more than a strategic shift. It's an opportunity for motivated professionals to grow, learn, and make a real difference.
Our mission is to help people and businesses thrive. As part of the global AI Transformation team, you'll lead and manage strategic AI initiatives that drive impact across global companies and key functions. We are looking for someone who connects business, AI, and technology, ensuring that AI solutions create measurable value.
THE DIFFERENCE YOU MAKE
Santander’s Data & AI Science (DAISci) team is the scientific engine of the bank’s AI transformation. We develop, test, validate, and translate emerging AI methods into products that redefine how the bank learns, decides, and serves customers.
DAISci operates at the intersection of advanced research and real-world impact — translating frontier AI into robust, compliant, and production-ready systems across risk, customer experience, operations, and beyond.
Joining DAISci is a rare opportunity to apply state-of-the-art AI in one of the world’s largest financial institutions, shaping intelligent systems that are not only powerful, but also trusted, transparent, and aligned with societal expectations.
This role will act as a key catalyst ensuring that AI is used responsibly, safely, and aligned with corporate standards.
Main Responsibilities:
We are seeking an AI SCIENTIST specializing in RESPONSIBLE AI. You will contribute to the development and operationalization of Santander’s AI principles, working across the different areas of the DAISci group to ensure we build safe, trusted, and responsible AI throughout the full lifecycle of our products — from design to deployment and monitoring.
The role combines scientific research with applied execution, advancing responsible AI methodologies, interpretability techniques, robust frameworks, and alignment strategies, while translating them into scalable, fair, and reliable systems.
You will collaborate closely with engineering, validation, governance, and product teams; contribute to Santander’s research and publication agenda; explore emerging approaches in trustworthy AI; and mentor peers to strengthen the organization’s expertise in responsible and reliable AI systems.
What You'll Bring To The Table
- Advanced degree (PhD or MSc) in Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related field, with specialization in Responsible AI, trustworthy machine learning, AI safety, fairness, interpretability, or AI governance.
- Proven track record of advancing AI/ML through high-impact research publications, patents, open-source contributions, or transformative product innovations — particularly in areas related to model robustness, fairness, explainability, privacy, or safety.
- Demonstrated ability to translate research into production, operationalizing concepts such as bias detection and mitigation, interpretability techniques (e.g., SHAP, counterfactuals, causal methods), robustness testing, model monitoring, uncertainty estimation, or safety guardrails into scalable and reliable systems.
- Strong programming skills in Python and familiarity with frameworks such as PyTorch, TensorFlow, DGL, or PyG.
- Deep understanding of responsible AI principles, including fairness metrics, model risk management, explainability techniques, adversarial robustness, privacy-preserving methods, and regulatory alignment (e.g., AI governance frameworks).
- Strong connections with academia and the wider AI research community, a passion for shaping the frontier of responsible AI, ability to shape research agenda.
WE VALUE YOUR IMPACT
Your contribution matters, and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you offer. But we know that rewards go beyond numbers.
- We enable our teams to go further through global opportunities and broad career paths.
- Flexibility that works. Enjoy hybrid work models—some days remote, some days in-person with your team—along with flexible schedules.
- Learning for life. Access hundreds of courses on our platforms, including exclusive access to our global learning space: Santander Open Academy (www.santanderopenacademy.com)
- Competitive rewards. Receive a very competitive salary with performance-based bonuses, which motivates you to continue growing with us.
- Economic advantages. Take advantage of preferential banking terms, special interest rates on loans, life insurance, and more.
- Your health is our priority. Through BeHealthy, our global wellness program, we promote holistic wellness.
- We know that family is everything. That's why we offer child care support and family programs tailored to every stage of life.
- Always by your side. Access Santander Contigo, our program for employees and their families that offers legal, emotional and administrative advice services.
- Extra benefits. Gym/WellHub membership, medical centers in some of our facilities, meal allowance, parking, shuttle service from various points in Madrid, as well as discounts and exclusive offers for Santander employees. And that's just the beginning—we'll tell you more when you join!
We're here to keep you motivated, help you reach your goals, and celebrate your progress every step of the way.
LOCAL COMPLIANCE
Santander is proud to be an organization where there are equal opportunities regardless of age, gender, disability, marital status, race, religion or sexual orientation. We are committed to providing an inclusive and accessible application process for all candidates.
WHAT TO DO NEXT?
If this sounds like a position you're interested in, apply.
READY TO TAKE THE NEXT STEP ON YOUR JOURNEY?
Film & Video Editor - Remote
4 abr.YO IT Consulting
Film & Video Editor - Remote
YO IT Consulting · Madrid, ES
Teletrabajo . Machine Learning
About The Role
Experienced film and video editors are invited to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real-world challenges within your professional domain. It offers an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule.
Key Responsibilities
- Create deliverables based on common requests within your professional domain
- Review peer-developed deliverables to help improve the quality and effectiveness of AI research outputs Contract and Payment Terms
- You will be engaged as an independent contractor.
- This is a fully remote role that can be completed on your own schedule.
- Projects can be extended, shortened, or concluded early depending on needs and performance.
- Payments are weekly on Stripe or Wise based on services rendered.
Aubay
Barcelona, ES
Desarrollador/a Fulstack y Consultor/a
Aubay · Barcelona, ES
React Python Azure Angular Docker Cloud Coumputing REST TypeScript AWS DevOps Microservices Machine Learning
Funciones
- Diseñar e implementar soluciones de IA Generativa (LLMs, RAG, agentes) y Machine Learning tradicional.
- Integrar herramientas de IA en sistemas empresariales existentes.
- Desarrollar pipelines full-stack con Angular/React y APIs REST (FastAPI).
- Gestionar infraestructuras en la nube (Docker, AKS) y procesos DevOps/CI-CD.
- Supervisar el despliegue y mantenimiento de modelos en producción.
- Realizar investigación continua en tecnologías emergentes.
Requisitos
- Será primordial contar con experiencia en Node y React, y en toma de requisitos y comunicación con el cliente. Se trataría de un perfil de Desarrollador/a Fullstack, que cuente con nociones y experiencia en proyectos de IA (IA Gen y Arquitectura RAG).
- Experiencia en proyectos de desarrollo trabajando con TypeScript, microservicios y arquitectura hexagonal.
- Experiencia en proyectos con inteligencia artificial, machine learning, deep learning y modelos generativos.
- Conocimiento y experiencia en el despliegue de soluciones de IA en entornos Cloud (AWS, GCP, Azure u otros).
- Dominio de Python y familiaridad con frameworks orientados a IA conversacional, como LangChain o similares.
- Valorables conocimientos de: Docker, Azure DevOps, Azure AI, Angular, React.js
Modelo híbrido de trabajo (1-2 días a la semana presencial) en Barcelona.
Se ofrece
En AUBAY seleccionamos un/a Desarrollador/a Fullstack - Consultor/a en Inteligencia Artificial (IA) para Barcelona.
Ofrecemos la posibilidad de formar parte de una Compañía en continuo crecimiento, participando en innovadores proyectos que te permitirán completar tu formación y potenciar tus capacidades. Valoramos el compromiso y la dedicación en el trabajo realizado.
En Aubay somos una multinacional de servicios digitales (DSC) fundada en 1998. Actualmente, con un fuerte crecimiento. Operamos en mercados con un alto valor agregado, tanto en Francia como en otras partes de Europa. En Aubay actualmente tenemos 5 000 personas trabajando.
Desde el asesoramiento hasta todo tipo de proyectos tecnológicos, acompañamos la transformación y modernización de los sistemas de información en todos los sectores, incluidos la industria, I + D, telecomunicaciones e infraestructura, y especialmente los principales bancos y compañías de seguros, que representan más del 80% de nuestra facturación francesa y el 65% de nuestra facturación europea.
Únete a nosotros, te esperamos!
#LI-NM1
Data Science Talent Program
3 abr.Santander
Madrid, ES
Data Science Talent Program
Santander · Madrid, ES
. Big Data Machine Learning
Country: Spain
DATA SCIENTE TALENT PROGRAM
¿Te apetece arrancar tu carrera profesional en Data Analytics, adquiriendo experiencia profesional y, al mismo tiempo, formación académica especializada con Banco Santander?
Desde las diferentes unidades de Data Analytics dentro del Banco tenemos por objetivo investigar e innovar, para dar solución a las necesidades financieras de nuestros clientes. Convertimos el dato en prácticas e innovadoras soluciones, gracias al uso de las tecnologías más punteras.
A través de nuestro Data Science Talent Program accederás a una formación de posgrado especializada en Data Science, al mismo tiempo que te incorporas en uno de los equipos del Banco que actualmente trabajan con estas metodologías.
Como participante del programa tendrás la oportunidad de cursar un posgrado en Big Data & Analytics, creado ad hoc, en uno de los centros universitarios de referencia en este ámbito.
Aprenderás sobre Infraestructuras de Big Data, Data Analytics, Visualización de Datos y Machine Learning.
Además, durante un año formarás parte como estudiante en prácticas en una de las áreas que actualmente utilizan este tipo de herramientas en el Grupo Santander, entre las que se encuentran: Models&Data, Inteligencia Comercial y CRM, Riesgos, Tecnología y Control de Gestión.
Este programa es el primer paso para iniciar tu camino en un sector en plena transformación, en el que Data Science se perfila como estratégico. Creemos, además, que es una buena oportunidad poder hacerlo de la mano de Banco Santander, donde estamos comprometidos con el progreso de las personas y de las empresas. Una organización global, presente en 10 países, de la que formamos parte más de 200.000 personas.
¿Qué necesitas para participar?
Lo más importante es que tengas un interés real en desarrollar tu carrera como Data Scientist.
Este programa va a exigir de ti un esfuerzo importante. Es imprescindible que seas estudiante de último curso de Grado o recién graduado en Matemáticas, Estadística, Informática, Física o Telecomunicaciones. Si ya posees alguna formación de posgrado en este ámbito, por supuesto que también será valorada.
Se requerirá, además, un nivel de inglés de al menos B2.
Film & Video Editor - Remote
3 abr.YO IT Consulting
Film & Video Editor - Remote
YO IT Consulting · Barcelona, ES
Teletrabajo . Machine Learning
About The Role
Experienced film and video editors are invited to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real-world challenges within your professional domain. It offers an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your own schedule.
Key Responsibilities
- Create deliverables based on common requests within your professional domain
- Review peer-developed deliverables to help improve the quality and effectiveness of AI research outputs Contract and Payment Terms
- You will be engaged as an independent contractor.
- This is a fully remote role that can be completed on your own schedule.
- Projects can be extended, shortened, or concluded early depending on needs and performance.
- Payments are weekly on Stripe or Wise based on services rendered.
AI Engineer
3 abr.L'Oréal
Madrid, ES
AI Engineer
L'Oréal · Madrid, ES
. React Node.js Docker Cloud Coumputing DevOps Machine Learning
Hello, we’re L’Oréal. We're not just building brands, we're shaping how the world experiences beauty (and it takes a lot of cool jobs to do it). Intrigued? Keep reading, this might be the opportunity you've been searching for.
A Day in the Life
You will join our Europe Data and AI team, based in Madrid, as a key player in our global Beauty Tech ambition. Reporting to the Europe CTO Data & AI, you will be part of a pioneering international team dedicated to building and operating the AI, data, and infrastructure that power next-generation Agentic AI prototypes and production agents across the group.
Your Main Responsibilities Will Include
- Platform Development & Operations: Implement scalable cloud services,Firestoreschemas, and robust logging best practices to ensure our platforms are resilient and efficient.
- Agent & Model Integration: Connectcutting-edgeVertex AI models and Agent Development Kit workflows into production-ready agents that will redefine our business.
- MLOps& Automation: Build and manage reproducible CI/CD pipelines, advanced monitoring, and effective rollback strategies to ensure seamless deployment and operation of our AI models.
- Collaboration & Knowledge Sharing: Create clear documentation, support cross-functional squads, and contribute to innovative lab experiments and demos thatshowcasethe future of Beauty Tech.
We Are Seeking a Technical And Forward-thinking AI Engineer Who Is Ready To Manage Projects From Concept To Company-wide Deployment. You Are a Problem-solver With a Strong Entrepreneurial Spirit And a Collaborative Mindset. You Have a Degree In Computer Science (or Equivalent) And Bring Experience In The Following Areas
- Cloud Computing: Strong experience with Google Cloud Platform, particularly Cloud Run,Firestore, and Cloud Logging.
- AI & Machine Learning: Hands-on knowledge of Vertex AI and, ideally, the Agent Development Kit for building and integrating AI solutions.
- MLOps/ CI/CD: Proven ability in deploying models, building automated CI/CD pipelines, and ensuring operational excellence.
- Software Engineering: Proficiencyin web technologies (Node.js, React) and containerization using Docker.
- Communication & Agility: Excellent communication skills in English and the ability to learn quickly, document clearly, and work effectively in a cross-functional team.
- A place for you to leave your comfort zone and grow beyond your potential (here,you’llbe encouraged to try new things and take risks!)
- Real responsibility from day 1,there’sno sitting on the sidelines at L’Oréal
- An environment where people of every ethnicity, social background, age, religion,genderand sexual orientation as well as people with disabilities are accepted, can speak up, willthriveand are celebrated!
- A place where you can contribute to something bigger! Many of our brands have societal /environmental causes to make concrete difference
L’Oréal is present in 150 markets on five continents. For more than a century, L’Oréal has devoted itself solely to ‘Create beauty that moves the world’; it is now the industry world leader with €42 billion consolidated sales. Together, we solve complex challenges at scale, while making sure we stay committed to making the world a more inclusive and a better place for everyone & our planet.
Today, L’Oréal includes over 9k experts in beauty tech, digital, data and e-comm and is constantly growing. Championing Beauty Tech, we invent the beauty of the future while becoming the company of the future. To achieve this ambition, L’Oréal continues to recruit diverse, innovative, skilled, and passionate minds in different tech domains such as Data, Digital, Cloud, Cyber Security, IT Architecture, DevOps, Applications, and Infrastructure.
We’re committed to guaranteeing inclusive recruitment processes and to advocating for hiring and promoting each candidate in an ethical and equitable way. The Group strictly prohibits discrimination against any applicant for employment because of the individual’s gender identity or expression, sexual orientation, visible and/or invisible disabilities, socio-economic and/or multicultural origins, health conditions, age, religion, or any other characteristics protected by law.
Airbus
Madrid, ES
Systems Airworthiness Artificial Intelligence
Airbus · Madrid, ES
Python Cloud Coumputing Machine Learning
Job Description:
V.I.E. Program: Systems Airworthiness & Artificial Intelligence Specialist
Organization: Airbus
Department: Airworthiness
Location: International
Overview
Airbus is pleased to offer a V.I.E. (Volontariat International en Entreprise) position in Madrid, Spain. This initiative provides a unique opportunity to acquire specialized professional competencies within a global aerospace leader, fostering both technical mastery and cross-cultural leadership skills.
The Role & Strategic Objective
The selected candidate will be integrated into the Airworthiness area, gaining a comprehensive 360-degree perspective on the lifecycle of aircraft safety. You will bridge the gap between real-world aviation impact and advanced AI theory, contributing to the continued airworthiness and certification of the Airbus fleet.
By diving into operational systems-including Auxiliary Power Units (APU), Exterior Lighting, and Bleed systems-you will play a pivotal role in ensuring the seamless and safe operation of our global fleet.
Key Responsibilities
- Certification & Safety: Support the certification of systems modifications and conduct rigorous investigations into airline safety occurrences to enhance fleet-wide security.
- Advanced Data Modeling: Analyze large-scale flight operation datasets to identify patterns, anomalies, and predictive indicators for daily operational excellence.
- AI Model Development: Architect and implement machine learning models (e.g., predictive maintenance, anomaly detection, NLP) to optimize airworthiness activities.
- Algorithmic Optimization: Conduct research and testing to optimize AI algorithms for high-performance accuracy and scalability within a critical aviation context.
- Technical Reporting: Synthesize complex methodologies and results into clear, concise documentation for presentation to multidisciplinary engineering teams.
Candidate Profile
We are seeking candidates with a Master´s Degree in Aerospace Engineering with knowledge in Computer Science, Data Science, Electrical Engineering, Applied Mathematics, or a related technical discipline.
Technical Requirements:
- Aerospace Knowledge: Familiarity with aircraft systems and aerospace engineering principles.
- Programming Proficiency: Advanced command of at least one major AI/ML language (e.g., Python).
- AI/ML Expertise: Practical experience with machine learning frameworks, libraries, and fundamental principles.
- Knowledge on software and cloud engineering practices
- Soft Skills: Strong analytical capabilities, meticulous attention to detail, and the ability to operate effectively in both autonomous and collaborative environments.
- Linguistic Proficiency: Professional-level written and verbal communication skills in English.
Professional Value Proposition
Participating in this program offers unparalleled access to:
- High-Impact Projects: Direct contribution to global aviation safety and innovation.
- Expert Mentorship: Close collaboration with, and guidance from, world-class senior engineers.
- Proprietary Data Access: Exposure to sophisticated, real-world aerospace databases and tools.
- Global Networking: A significant expansion of your professional network within the international aeronautical industry.
Conclusion
Airbus is defined by a culture of diversity and collective determination. We invite you to contribute your expertise to a team that strives to make the world a more connected and safer place.
Are you prepared to elevate your career? Apply today and make it fly!
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company´s success, reputation and sustainable growth.
Company:
Airbus Operations SL
Employment Type:
VIE, VISC
Experience Level:
Student
Job Family:
Digital