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Desarrollador de Machine Learning con Spark en Devoteam España
hace 2 meses
Buscamos un perfil de Machine Learning para que realice estas funciones:
- Diseñar, desarrollar y mantener pipelines para la extracción, limpieza y transformación de datos con Spark.
- Trabajar con una gran variedad de datos (estructurados y no estructurados) relacionados con el producto y todo su ciclo de vida, desde la fase inicial de diseño hasta la venta en nuestros diferentes canales.
- Realizar la puesta en producción de soluciones con algoritmos avanzados de aprendizaje automático para mejorar nuestros procesos y decisiones comerciales principales.
- Participar en la definición de la arquitectura de las soluciones de analítica avanzada desarrolladas por el equipo y su posible integración con herramientas y aplicaciones desarrolladas por otros equipos.
- Definir e implementar mecanismos para la orquestación y monitorización de los procesos y aplicaciones desarrolladas.
- Participar en la automatización de tests, CI/CD y despliegue automático de nuestras aplicaciones. Ayudar en la definición y mejora de los estándares de calidad del código.
- Estar conectado a los últimos desarrollos en Big Data y MLOps e invertir tiempo en traer nuevas tecnologías y mejores prácticas.
- Grado en Informática, Ingeniería u otros campos cuantitativos.
- Al menos 3 años de experiencia desarrollando en Python, Scala, u otro lenguaje orientado a objetos.
- Experiencia en el desarrollo de ELT escalable, procesos de integración de datos con Spark, Spark Structured Streaming o cualquier otra tecnología de procesamiento de datos.
- Experiencia en la construcción y el mantenimiento de cargas de datos complejas con un alto volumen y orquestando dependencias (por ejemplo, Airflow).
- Experiencia llevando a cabo proyectos que involucren algoritmos de Machine Learning, idealmente en un entorno cloud con computación distribuida. Se valorará la experiencia desarrollando modelos matemáticos y algoritmos predictivos (optimización, modelos supervisados y no supervisados, clustering, redes neuronales...).
