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MACHINE LEARNING ENGINEER INTERN (HYBRID)

Leganés - Madrid

Descripción de la oferta de empleo

Location.
Madrid, Spain Thales people architect solutions at the heart of the defence-security continuum.
Interoperable and secure information and telecommunications systems for defence, security, and civil operators, are based upon innovative use of radiocommunications, networks, and cybersecurity.
We are ground breaking new digital technologies such as 4G mobile communications, cryptography, cloud computing and big data for use in physical protection systems, and critical information systems.
Thales in Spain is a leader in technological solutions applied to Defence, Aeronautics, Security, Transportation and Space and, furthermore, is a global centre for excellence in Space, Security of Critical Infrastructures and Transportation.
With a turnover of €320 million and a staff of , it exports approximately 40% of its total production principally to the Middle East, North Africa and Latin America.
In Defence and security, armed forces, governments and global organisations entrust Thales with helping them achieve and maintain security, tactical superiority and strategic independence in the face of any type of threat.
In an increasingly unpredictable world, governments rely on our expertise to protect their citizens and make the world safer, from designing smart sensors and connecting soldiers on the digital battlefield to delivering solutions that protect states, cities and critical infrastructures.
In Spain, Thales Sistemas is specialized in Command and Control systems, Tactical Communications and Modeling and Simulation addressing solutions in the domain of Defense and Security.
Thales is the Spanish leader in tactical Land CIS (Communication and Information Systems) covering all the product life cycle (design, development, production, ILS).
Based in Leganés, Thales Sistemas employs a highly specialized workforce of more than 100 people, most of them engineers that participate in the following activities.
Communications and Information Systems (CIS) to support Command function and Decision Making.
Embedded electronics for military aircraft Tactical Communications Radio Navigation Aids for air traffic As part of the Software Development Team, you will apply machine learning algorithms to improve our Command and Control products.
As a Machine Learning Engineer intern, you will.
Identify appropriate ML techniques for C2 decision help Design and develop algorithms Integrate and test the developed modules Document the development Competences.
Technical/functional skills.
Software Engineering / Mathematics Software development in Python, C# Agile Methodology English Language Other (advantage).
Database development Geograhpical Information Systems Behavioural skills.
Good communication skills Team Worker Proactive What does the Talent Programme consist of? At Thales we believe that the new generations are the drivers of change and, for this reason, we have developed a one-year full-time internship programme that we will complement with a Master's degree in Productivity, Adaptive Management and Innovation through the Nebrija University (distance learning).
What do we offer you? 21 days holiday.
€ gross per month.
Flexible working hours.
Intensive working day on Fridays and during July & August.
Multidisciplinary and international environment, which will enrich you as a professional.
At Thales we provide CAREERS and not only jobs.
With Thales employing employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields.
Together we believe that embracing flexibility is a smarter way of working.
Great journeys start here, apply now! Interested in a CAREER IN THE RAIL transportation sector? To see our jobs in the railway market, please visit our dedicated site here
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Detalles de la oferta

Empresa
  • Thales España Sistemas, S.A.U.
Localidad
Dirección
  • Sin especificar - Sin especificar
Tipo de Contrato
  • Sin especificar
Fecha de publicación
  • 14/09/2024
Fecha de expiración
  • 12/12/2024
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