Especialista en Machine Learning y Nlp

hace 2 semanas


Madrid, Madrid, España Zemsania A tiempo completo


En Zemsania, buscamos incorporar a nuestro equipo un/a Especialista en Machine Learning y Procesamiento del Lenguaje Natural (NLP) para un proyecto en el sector bancario.

Trabajarás para uno de nuestros principales clientes, una empresa multinacional líder en el mercado con presencia en más de 50 países y operaciones en diversos sectores, incluyendo telecomunicaciones, banca, industria, administración pública y seguros.




¿Cuál será tu misión?

Tu función principal será el desarrollo de productos de Machine Learning desde la concepción hasta la implementación. Esto incluye el procesamiento de datos, análisis exploratorios, desarrollo y optimización de modelos, así como la visualización de resultados. Se valorará especialmente la experiência en Natural Language Processing (NLP) y el conocimiento de Large Language Models (LLMs).



¿Qué beneficios te ofrecemos?


  • Jornada intensiva los viernes y en julio y agosto.
  • Flexibilidad horaria para lograr un equilibrio perfecto entre tu vida profesional y personal.
  • Retribución flexible para que elijas los beneficios que mejor se adapten a tus necesidades (restaurante, guardería, transporte público, seguro privado...).
  • Salario competitivo, ajustado a tus competencias y experiência.
  • Excelente ambiente de trabajo.
  • Modalidad de trabajo con 23 días presenciales en la zona de Sanchinarro.
  • Estabilidad en una empresa con más de 20 años de trayectoria, colaborando con las principales empresas del sector.
  • Trato cercano y seguimiento constante durante el proceso de selección.
  • Acompañamiento personalizado con un People Partner y un Business Manager dedicados a tu desarrollo y bienestar.

Requisitos:



¿Qué nos gustaría que aportaras al proyecto?


  • Sólidos conocimientos en aplicaciones de Machine Learning, Deep Learning y estadística en diversos dominios.
  • Experiência en Natural Language Processing (NLP) y conocimiento de Large Language Models (LLMs).
  • Experiência en el desarrollo completo de productos de ML, desde la definición hasta la productivización.
  • Diseño y análisis de pruebas AB aplicando estadística bayesiana.
  • Conocimientos analíticos y de programación, incluyendo Python y PySpark.
  • Experiência en ETLs con SQL y Spark DataFrames API.
**
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