Machine Learning Engineer
hace 4 meses
**¿Quiénes somos?
**Somos Capgemini Engineering, una marca que forma parte del Grupo Capgemini.
**Líderes en servicios de ingeniería e I+D, con más de 65.000 personas dedicadas a la Ingeniería y la Ciencia en todo el mundo. Ayudamos a nuestros clientes a acelerar su camino hacia la industria inteligente, aportando experiência y capacidades globales, tecnologías de vanguardia digitales y software, plataformas de ingeniería ágiles y un modelo de ejecución industrializado.
**Acerca del rol
**Nuestro equipo de Digital Engineering está buscando un/a Desarrollador/a Machine Learning con al menos 4 años de experiência en un rol similar. Buscamos a una persona que se encargue de liderar el desarrollo de software basado en NLP, utilizando técnicas de procesamiento del lenguaje natural para la detección de ambigüedades y contradicciones en textos.**
**Localización**:Madrid o Barcelona.**
**¿Qué funciones desarrollarás?
- **Implementación de Modelos de Machine Learning**:Desarrollarás e implementarás modelos de machine learning específicos para abordar desafíos en la detección de ambigüedades, contribuyendo al avance de nuestras capacidades tecnológicas.**
- **Optimización de Algoritmos**:Trabajarás en la optimización continua de algoritmos, asegurando un rendimiento eficiente y preciso en la detección de ambigüedades y contradicciones, con el objetivo de mejorar constantemente la calidad del software.**
- **Colaboración Interdisciplinaria**:Colaborarás estrechamente con equipos interdisciplinarios, incluyendo expertos en NLP, desarrolladores de software y profesionales del dominio específico para garantizar una integración perfecta de las soluciones desarrolladas.**
- **Análisis de Resultados y Mejora Continua**:Realizarás análisis exhaustivos de los resultados obtenidos, identificando áreas de mejora y proponiendo soluciones innovadoras para perfeccionar la detección de ambigüedades y contradicciones.**
- **Mantenimiento y Soporte Técnico**:Brindarás soporte técnico continuo y realizarás labores de mantenimiento para garantizar el funcionamiento óptimo del software en producción, asegurando la satisfacción del cliente y la eficacia de la solución implementada.
**¿Qué buscamos?
- **Grado en Ingeniería Informática, Estadística, Matemáticas o similares.**:
- **Al menos 4 años de experiência laboral en un rol similar.**:
- **Habilidades sólidas en Python, así como experiência demostrada en Inteligencia Artificial (IA), Machine Learning (ML) y Procesamiento del Lenguaje Natural (NLP).**
- **Machine Learning (ML)**:experiência con frameworks como **Tensorflow y Scikit Learn**:
- **Procesamiento del Lenguaje Natural (NLP)**:experiência con frameworks como **Spacy, Stanza y GateNLP.**
- **Inglés mínimo C1.**
**¿Qué podemos ofrecerte?
- **Contrato indefinido.**:
- **24 días de vacaciones + 2 asuntos propios + 24 y 31 de diciembre.**:
- **Seguro de Vida y Accidentes.**:
- **Ticket restaurante o subvención de comida.**:
- **Plan de Compensación Flexible (seguro médico, guardería, transporte, formación).**:
- **Formación continua, podrás disfrutar de Mylearning y de Capgemini University con acceso a plataformas como: Coursera, Udemy, Pluralsight, Harvard Manager Mentor, entre otros.**:
- **Formación en idiomas de inglés, francés y alemán con Education First (EF).
**¿Por qué Capgemini?
- **Somos **líderes mundiales **en Ingeniería.**:
- **Trabajamos en proyectos relevantes en **innovación e I+D**:
- **Estamos comprometidos con la **igualdad de oportunidades.**:
- **Tenemos experiência **multisectorial y multidisciplinar.**:
- **Participamos en **comunidades tecnológicas **con foco en la mejora y aprendizaje continuos.**:
- **Somos **Top Employer **por 5to año consecutivo.**
**La diversidad es clave de nuestra estrategia
**Nuestro compromiso con la inclusión e igualdad de oportunidades hace que tengamos un Plan de Igualdad y un Código Ético que garantizan el desarrollo profesional de la plantilla y la igualdad de oportunidades en su selección dentro de un entorno libre de discriminación por cuestión de etnia, nacionalidad, origen social, edad, orientación sexual, expresión de género, religión o cualquier otra circunstancia personal, física o social.
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