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Machine Learning Engineer

hace 3 meses


Madrid, Madrid, España Clevertask A tiempo completo

Descripción:



¿Eres un apasionado de la tecnología?
¿Te gustaría impulsar la transformación digital de grandes compañías y liderar sus retos de innovación?

¿Lo tuyo son los datos?


Te estamos buscando


Nos presentamosSomos Clevertask, una compañía de 200 profesionales, que pertenece al grupo internacional ALTEN, líder en ingeniería y servicios IT, con consultores y presencia en 30 países.

Contamos con la solidez de un gran grupo y la cercanía y expertise para ser en el mejor partner de nuestros clientes.

Estamos especializados en tecnologías cloud, especialmente en el mundo Microsoft y Citrix, y trabajamos en la transformación digital, la definición soluciones tecnológicas innovadoras, y el desarrollo para nuestros clientes.


Nuestros servicios:

  • Consultoría estratégica tecnológica
  • Transformación del puesto de trabajo digital
  • Migración de infraestructuras al cloud
  • Implantación de soluciones de seguridad cloud
  • Inteligencia Artificial y Machine Learning

¿Nuestros valores?

Transparencia, cercanía e innovación en todo lo que hacemos, sin olvidar la excelencia.



¿Qué ofrecemos?

En Clevertask ofrecemos una serie de medidas para que puedas desarrollarte 360o y conseguir todo aquello que te propongas, para ello tendrás la oportunidad de:

  • Horario flexible y posibilidad de trabajar en remoto (95% remoto, se puede requerir visitar oficinas en madrid muy puntualmente), como resultado de una mentalidad pro responsabilidad y autonomía.
  • Plan de carrera personalizado, ara ello tendrás acceso a cursos de formación a cargo de la empresa y certificaciones oficiales.
  • Clases de inglés en remoto sin coste para ti.
  • Sistema de retribución flexible en guardería, transporte, seguro de salud y dietas.
  • Referal bonus, si traes a gente con tanto talento como tú.
  • Y lo mejor de todo, formar parte de una empresa donde tu eres la parte más importante y donde haremos todo para que puedas desarrollarte al máximo.



¿Quieres saber más sobre nosotros?
Te invitamos a echar un vistazo en los siguientes vídeos:

Requisitos:



¿Qué estamos buscando?

Buscamos a una persona con experiência como
Machine Learning que esté acostumbrado/a a trabajar con GCP, para realizar las siguientes tareas:

Imprescindible:

  • Experiência de al menos 2 años en entornos Big Data.
  • Python (Test unitarios, construcción y paquetización, gestión de dependencias).
  • Frameworks y Librerias.
  • Pyspark, TensorFlow, Scikit Learn, Numpy y Pandas.
  • Diseño de SW (Patrones).
  • Experiência con ETL's para datos masivos.
  • Experiência con Git y flujo de desarrollo continuo.
  • Experiência con sistemas unix (manejo de consola).
  • Conocimiento de algorítmos de ML (modelos de clasificación, Regresión, Clustering, etc.)
  • Lenguajes: Python avanzado y SQL.
  • Librerías DS: TensorFlow/ Pytorch, Scikit Learn, Numpy, Pandas.
  • PySpark: fuertes conocimientos de Spark para poder poder analizar/ optimizar los jobs de Spark.
  • GCP: conocimientos del ecosistema Vertex.
Experiência en Vertex Endpoints, FeaturesStore, Pipelines (Kubeflow). Conocer Dataproc, Pubsub, cloudRun, Cloud Storage, Cloud Functions y BigQuery.

  • Acostumbrado/a a buenas prácticas de programación.
  • Acostumrbado/a a contribuir a proyectos de Git complejos.
  • Dominio de todo el stack necesario para crear test de calidad.

Valorable:

  • Scala.
- conocimiento en POO.

  • Spark y Maven.
  • Jenkins, Antifactory o similares.
  • Experiência en puesto en producción de modelos de ML.
  • Agile.
  • Docker para desarrollo local.
  • MKdocs, Sphinx, scaladoc o similales.

Soft skills:

  • Trabajo en equipo (Team Player).
  • Buena comunicación y capacidad de estar en contacto directo como focal point con cliente.
  • Buena capacidad analítica para la propuesta de soluciones técnicas.
  • Capacidad de trabajar en entorno dinámico y cambiante.
  • Orientación a resultados.

Estamos deseando conocerte

Personas, equipos, proyectos. Todo empieza con la confianza.
**#Greatpeople, #greatplace