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Machine Learning Engineer

hace 3 meses

Madrid, Madrid, España BESIDE A tiempo completo
En
BESIDE apostamos por el mejor talento dentro del sector tecnológico.

Contamos con una unidad de Selección Especializada en perfiles de Ingeniería para incorporarse en la plantilla de nuestros clientes.

Trabajamos con un amplio rango de empresas, que nos permitirá encontrarte el puesto que más se ajuste a tus necesidades e intereses profesionales.

Te podrás incorporar en las empresas más innovadoras, ofreciéndote proyectos punteros dentro de las ramas de I+D, automoción, pharma, diseño de maquinaria, desarrollo de producto, etc...

Conectamos el mejor talento tech con las mejores oportunidades.


Actualmente estamos en búsqueda de un/a Machine Learning Engineer - Híbrido para incorporarse de manera fija e indefinida en cliente final.


Tus funciones serán:
Cubrir nociones de negocio, métodos analíticos y conocimientos tecnológicos.

  • Desarrollo y evolución de prototipos de machine learning y analítica de datos
  • Diseño de arquitecturas cloud básicas para llevar a producción diferentes servicios
  • Implementación de dichas arquitecturas usando microservicios
  • Desarrollo de herramientas básicas de monitoreo para garantizar el buen funcionamiento de las implementaciones
  • Selección de conjuntos de datos para desarrollar métodos de aprendizaje automático
  • Hacer acompañamiento a perfiles con menos experiência para garantizar buenas prácticas en el desarrollo de software
  • Realización de análisis estadísticos de resultados y refinación de los diversos modelos
  • Síntesis y comunicación para la toma de requisitos de negocio y traducción a requisitos técnico funcionales de especificación.

Requisitos:

  • Experiência demostrable programando en Python a nível avanzado / alto (valorable repositorio en Github o Gitlab)
  • Conocimiento de técnicas de NLP para clasificación de textos.


 Conocimiento de Docker
  • Valorable conocimientos de desarrollo cloud
  • Conocimiento de arquitectura de software
  • Experiência con librerías y frameworks de machine learning (como scikitlearn, spaCy, Keras, PyTorch, TensorFlow)
  • Conocimiento de Git a nível usuario