Salary
≈ $16k – $42k per year (Estimated)
Location
In office (Santiago)
Seniority
Junior · 1+ year exp
Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 29, 2026. Siemens scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Siemens is a German technology conglomerate founded in Berlin in 1847 by Werner von Siemens around a telegraph that indicated letters rather than Morse code. After a decade of divestments it now concentrates on industry, infrastructure, transport and healthcare, supplying factory automation and control systems, building and grid technology, trains and signalling, and the Teamcenter and NX design software acquired through a long run of software purchases. The Siemens Xcelerator platform ties hardware to software and digital twins, and the group retains a majority stake in the separately listed medical imaging company Siemens Healthineers.
Backed by Elevate Ventures, Climate Investment, Incubateur Kivo
Tu desafío:
- Diseñar, desarrollar y desplegar aplicaciones basadas en IA que optimicen la eficiencia operativa y los procesos de servicio al cliente.
- Traducir requerimientos complejos de negocio en soluciones técnicas escalables utilizando Generative AI, Machine Learning y Data Analytics.
- Trabajar estrechamente con stakeholders, equipos de ingeniería y expertos en la materia (SMEs) para identificar oportunidades críticas de automatización.
- Asegurar el mantenimiento y la evolución constante de las herramientas digitales desplegadas, garantizando su impacto real en la productividad de la organización.
Lo que buscamos en ti:
- Formación: Ingeniería Civil Informática, Ciencia de Datos, Ingeniería en Computación o carrera afín.
- Experiencia: Mínimo 1 año en roles de desarrollo de software, con un foco sólido en proyectos de IA/ML.
- Stack Tecnológico (Deseable):
- Dominio de Python y frameworks de Machine Learning (TensorFlow, PyTorch, Scikit-learn).
- Experiencia implementando soluciones de Generative AI (LLMs, RAG, Prompt Engineering).
- Manejo de herramientas de Data Analytics y visualización de datos.
- Conocimiento en arquitecturas de nube (AWS o Azure).
¿Qué ofrecemos?
La oportunidad de trabajar en el corazón de la digitalización de la red eléctrica, en un entorno multicultural donde la experimentación con nuevas tecnologías es parte del día a día.
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