Data Scientist: End-To-End Ml & Production Deployments

Lognext
Madrid, Spain
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Java (Programming Language) Data Visualization Python (Programming Language) NumPy Tensorflow Pytorch Pandas Scikit Learn Databricks

Job description

Lognext busca un Data Scientist para unirse a su equipo en Ibiza, con experiencia en el ciclo de vida completo de datos y en Python, Pandas y NumPy.Se valorará conocimiento en ML con Scikit-learn, TensorFlow o PyTorch, Databricks y experiencia integrada con Java y Python.El rol implica preprocesamiento, entrenamiento y despliegue de modelos, monitorización y mejoras continuas, con posibilidad de colaborar en entornos mixtos y visualización de datos a nivel corporativo.#J-*****-Ljbffr

Requirements

Se valorará conocimiento en ML con Scikit-learn, TensorFlow o PyTorch, Databricks y experiencia integrada con Java y Python.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:26 min

Transitioning machine learning models from notebooks to production

Kilian Kluge +1 · World Congress 2022

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · World Congress 2024

3:08 min

Maintaining and monitoring machine learning models in production

Natalie Pistunovich · LIVE

1:25 min

Replacing NumPy with cuPy for straightforward GPU acceleration

Paul Graham Paul Graham · World Congress 2025

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