Senior ML Engineer — Drive Scalable AI & ML (Hybrid)

Smadex

Barcelona

Híbrido

EUR 70.000 - 100.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

private health insurance
LinkedIn Learning access
meal vouchers
gym allowance

Descripción de la vacante

Smadex in Barcelona is seeking a Senior Machine Learning/Staff Engineer to lead architectural decisions and develop deep neural network algorithms. You will shape features, improve ML pipelines, and deploy scalable data analytics solutions while collaborating with Tech and Ops teams.

Requirements include 5+ years in data science, strong coding in Python/Scala/Java, experience with high‑performance algorithms, SQL, and English fluency. Preferred: Master’s in Statistics/CS, Spark, AWS, and Linux.

Formación

  • 5+ years in data science or ML.
  • Strong coding skills in Python, Scala and Java.
  • Experience with high‑performance algorithms and statistical techniques.
  • Fluency in English and ability to mentor others.

Responsabilidades

  • Lead architectural decisions for deep neural network algorithms.
  • Develop new features and improve ML pipelines.
  • Deploy scalable data analytics and ML solutions.
  • Collaborate with Tech and Ops teams.

Conocimientos

Python
Scala
Java
High‑performance algorithms
Statistical techniques
Data mining
Predictive modeling
Version control (Git/Bitbucket)
SQL
English

Educación

Master's degree in Statistics/Applied Mathematics/CS

Herramientas

Apache Spark
AWS
Linux environments

Descripción del empleo

Smadex in Barcelona is seeking a Senior Machine Learning/Staff Engineer to lead architectural decisions and develop deep neural network algorithms. You will shape features, improve ML pipelines, and deploy scalable data analytics solutions while collaborating with Tech and Ops teams.

Requirements include 5+ years in data science, strong coding in Python/Scala/Java, experience with high‑performance algorithms, SQL, and English fluency. Preferred: Master’s in Statistics/CS, Spark, AWS, and Linux.

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