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Location
Remote (Peru)
Employment
Full-Time

First seen by Alion on Sep 13, 2026.

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Indra Group, the brand of Indra Sistemas, is a Spanish technology and defense company headquartered in Alcobendas near Madrid, working in defense systems, air traffic management, space, transport and mobility technology, and IT services through Minsait. Listed on the Madrid stock exchange and part of the IBEX 35, it reported 5,457 million euros in 2025 sales, more than 62,000 professionals and commercial presence in over 140 countries. The jobs on this record come from its UK and Ireland business, which hires software and systems engineers, test leads, security architects, service managers and business development staff.

¡Un lugar para ti! INDRA es una de las principales compañías globales de tecnología y consultoría y el socio tecnológico para las operaciones clave de los negocios de sus clientes en todo el mundo. Es un proveedor líder mundial de soluciones propias en segmentos específicos de los mercados de Transporte y Defensa, y la empresa líder en consultoría de transformación digital y Tecnologías de la Información en España y Latinoamérica. Con cerca de 48.000 empleados, presencia local en 46 países y operaciones comerciales en más de 140 países. Nos encontramos en búsqueda de un(a):
Machine Learning EngineerÚnete a un nuevo proyecto de Datos e IA para el sector minero, donde tendrás la oportunidad de construir y validar modelos predictivos sobre datos reales de procesos industriales.
Funciones: Preparar datos históricos y construir features junto a expertos de dominio. Entrenar y comparar modelos predictivos y baselines. Diseñar y ejecutar backtests con datos temporales, evitando data leakage. Analizar y explicar resultados para audiencias técnicas y de negocio. Desarrollar pipelines reproducibles y documentar experimentos.
Requisitos: 5+ años de experiencia aplicando Machine Learning en proyectos reales. Dominio de Python (pandas, scikit-learn o similares) y SQL. Experiencia con validación de modelos sobre datos temporales/secuenciales. Experiencia trabajando con datos imperfectos del mundo real. Capacidad para comunicar resultados y limitaciones de manera clara. Deseable: experiencia en minería, industria, energía o manufactura; XGBoost/LightGBM, SHAP y MLflow.
Modalidad:
Principalmente remoto desde Lima.
Disponibilidad para viajes puntuales a Arequipa durante el proyecto (Indra cubre pasajes, hospedaje y viáticos).
Beneficios:
Oportunidad de aprendizaje y crecimiento profesional.
Entorno de trabajo colaborativo y de apoyo.
EPS 100% para el colaborador.
Acceso a la plataforma Udemy 100% gratuita.
Asesorías virtuales con psicólogos y nutricionista para el colaborador y familiar directo.
Convenios corporativos y educativos.
Planilla al 100% (Vacaciones, CTS, Gratificación, etc.)Seguro vida Ley.

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