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AI SOLUTION ARCHITECT FOR MOBILITY BUSINESS

Tres Cantos - Madrid

Descripción de la oferta de empleo

Siemens Mobility is a separately managed company of Siemens.
As a leader in transport solutions for more than 160 years, Siemens Mobility is constantly innovating its portfolio in its core areas of rolling stock, rail automation and electrification, turnkey systems, intelligent traffic systems as well as related services.
With digitalization, Siemens Mobility is enabling mobility operators worldwide to make infrastructure intelligent, increase value sustainably over the entire lifecycle, enhance passenger experience and guarantee availability.
  We are leaders in cutting-edge technology for the Railway Signaling sector, developing innovative products and solutions for the satisfaction of its customers.
We are a collaborative, proactive group, learning every day, achieving quality products on time, overcoming challenges and aware of what we contribute to society.
  We are want to get onboard an experienced AI Solution Architect Passionate about.
• Driving business transformation and deliver exceptional value.
The ideal candidate will have a strong background in AI and machine learning, with a proven track record of designing and implementing scalable AI solutions across various domains.
• Collaboration to create a coherent and comprehensive offering for our internal needs, users and stakeholders.
    Key Responsibilities • Lead the design and development of AI solutions that meet needs and business objectives.
• Collaborate with cross-functional teams to integrate AI technologies into existing systems and processes.
• Design end to end solutions based on cloud-based components for AI that includes tracking, KPI reporting and adhere to our architecture principles and guardrails • Provide technical leadership and mentorship to junior team members.
• Stay up-to-date with the latest advancements in AI and machine learning technologies.
• Communicate complex technical concepts to non-technical stakeholders.
  Qualifications • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in AI and machine learning.
• Strong programming skills in languages such as Python, R, or Java.
• Experience with AI frameworks and tools such as TensorFlow, PyTorch, or Keras.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Background in big data technologies and data engineering • Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and interpersonal skills.
• Fluency English and Spanish     If we all thought the same, we would never think of anything new! That’s why we recruit great minds from all walks of life.
We recognize that building a diverse workforce is essential to the success of our business, therefore we encourage applications from a diverse talent pool.
We welcome the opportunity to discuss flexibility requirements with our applicants to encourage agile working and innovation.
Flexibility is our main benefit.
We combine remote and presence work because work-life balance and wellbeing are essential for our teams.
We are convinced that stay at home allow us to focus on activities that need more time for concentration and being at the office enhance our creativity collaborating and learning from others.
  Siemens aboga por la igualdad de oportunidades entre mujeres y hombres, así como en la Diversidad como fuente de creatividad e innovación.
Contar con diferentes tipos de talento y de experiencias nos hace ser más competitivos y estar mejor preparados para responder con éxito a las demandas de la Sociedad.
Por ello, valoramos a las candidatas y a los candidatos que reflejen la Diversidad que disfrutamos en nuestra Compañía y animamos la cobertura de puestos por mujeres y hombres en ocupaciones que se encuentren subrepresentadas #LI-ES1
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Detalles de la oferta

Empresa
  • Siemens
Localidad
Dirección
  • Sin especificar - Sin especificar
Tipo de Contrato
  • Sin especificar
Fecha de publicación
  • 11/12/2024
Fecha de expiración
  • 11/03/2025
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