58 Best cae en Jobs in Alcorcón (June 2026)

#BECA AHE - AI Strategy Lead - Engineering Transformation

3 days ago

Getafe

Job Description Haga clic en "Solicitar" a continuación para enviar su candidatura. Asegúrese de que su CV está actualizado y de que ha leído primero las especificaciones del puesto. Ready to join one of our Graduate Programs in Spain? We are looking for recent graduates from different disciplines interested in developing their professional career in the aeronautical sector. The current context demands different ways of looking, thinking and relating. Starting date October 1rst 2026 until September 30t. The selection process will be during May 2026 until September 2026. What does this internship consist of? Together with Camilo José Cela University, Airbus has developed an exclusive program designed for those interested in the best training in new areas of knowledge essential to be able to develop as professionals of the future. You will have the opportunity to study a Master, organized in training blocks, that will allow you to discover the skills most in demand today. It will be combined with an 11 month internship at Airbus in an area related to your degree, where you can learn and complete your academic background. The start of the internship will be in early October 2026, and will last 11 months. It is a full‑time experience (40h/week), in which you will receive an attractive study grant. Challenges and Responsibilities Airbus Helicopters stands as a global leader in the design, manufacture, and support of advanced rotorcraft. With a rich heritage of pioneering vertical flight solutions, we are committed to relentless innovation, uncompromising safety, and pushing the boundaries of aerospace technology. Our vision extends beyond current capabilities, aiming to shape the future of flight through cutting‑edge engineering and transformative digital strategies. Join us in defining the next generation of helicopter technology! The Opportunity: Pioneering AI in Advanced Helicopter Engineering This position represents a unique opportunity to spearhead the integration of Artificial Intelligence (AI) and Machine Learning (ML) into the core engineering processes of a world‑class helicopter manufacturer. As the Digital Transformation Lead for AI in Engineering, you will hold a strategically vital role, driving the next wave of advancements in engineering efficiency, product innovation, and operational excellence. The successful candidate will leverage AI not merely as a tool for incremental improvement, but as a transformative engine to enhance safety, optimise designs, revolutionise manufacturing, and enable predictive maintenance, thereby securing our competitive advantage and shaping the future of rotorcraft technology. This role is pivotal in identifying and implementing high‑impact AI applications, moving beyond standard practices to fundamentally change how we engineer and maintain complex aerospace systems. You will be instrumental in harnessing AI’s potential, estimated to contribute significantly to the aerospace industry's value through improved efficiency and safety. Key Responsibilities • Support on leading AI Strategy & Implementation: Help define, articulate, and execute a comprehensive strategy for AI adoption across the engineering lifecycle. Collaborate leading the end‑to‑end process of designing, developing, rigorously testing, and deploying bespoke AI/ML models and solutions specifically tailored to address complex helicopter engineering challenges., • Process Analysis & Optimization: Support in conducting in‑depth analyses of existing engineering workflows. Identify critical bottlenecks, inefficiencies, and opportunities where AI/ML can yield substantial improvements in speed, cost‑effectiveness, quality, and overall productivity., • Cross‑Functional Collaboration & Change Management: Serve as the primary interface between AI initiatives and diverse engineering teams (e.g., aerodynamics, structures, systems integration, manufacturing engineering, flight test), data scientists, IT infrastructure teams, and senior leadership. Crucially, this role involves championing the adoption of AI across the engineering department, requiring strong change management capabilities to guide teams through technological transitions, address concerns, provide necessary training and mentorship, and cultivate a culture that embraces AI‑driven methodologies and continuous improvement., • Compliance & Validation: Collaborate ensuring that all developed and deployed AI solutions strictly adhere to the demanding standards of the aerospace industry, including safety regulations, certification requirements (e.g., FAA/EASA), and internal quality management protocols. Essential Qualifications & Skills • Education: An advanced degree (Master’s required, PhD strongly preferred) in a relevant quantitative discipline such as Aerospace Engineering, Mechanical Engineering, Computer Science, Artificial Intelligence, Data Science, Statistics, or Operations Management., • Experience: experience showcasing successful leadership and hands‑on implementation of complex AI/ML projects within an engineering, advanced manufacturing, or R&D setting., • AI/ML Proficiency: Deep theoretical understanding and practical, hands‑on experience with a wide range of machine learning algorithms (including supervised learning, unsupervised learning, and reinforcement learning), deep learning architectures (e.g., CNNs, RNNs, Transformers), statistical modeling, natural language processing, and data mining techniques., • Programming & Tools: Expert‑level proficiency in Python is essential, along with strong capabilities in other languages commonly used in AI/ML development such as R, C++, or Java. Extensive experience with major AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit‑learn, Keras) is required. Familiarity with data processing tools, SQL databases, and potentially big data technologies (e.g., Apache Spark, Hadoop) is necessary for handling large engineering datasets., • Engineering Domain Acumen: A solid grasp of fundamental engineering principles and processes, particularly those pertinent to aerospace or complex mechanical systems. This includes familiarity with concepts related to Computer‑Aided Design/Engineering/Manufacturing (CAD/CAE/CAM), Product Lifecycle Management (PLM), systems engineering, aerodynamics, structural analysis, materials science, or MRO practices., • Leadership & Soft Skills: Proven ability to lead technically complex projects from conception through deployment and sustainment. Benefits • Foster your professional development with a strong academic background and an in‑depth collaboration in AIRBUS projects., • Expand your network within the aeronautical industry., • Meet our people working with passion and determination to make the world a more connected, safer and smarter place., • Be part of our diversity and teamwork culture that propel us to accomplish the extraordinary – on the ground, in the sky and in space. By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus. Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief. xcskxlj Airbus is, and always has been, committed to equal opportunities for all. We will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to Employment Type: Internship Experience Level: Student Job Family: Structure Design & Integration Company: Airbus Helicopters España, SA #J-18808-Ljbffr

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