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BB
Benedikt Bischof
MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production
about 4 years ago
Data Marketing Scientist: End-To-End Ml & Data Platforms
Lognext
Madrid, Spain
11 days ago
- Discuss this with your agent
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Apply on www.buscojobs.com.es
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Data Integration
Python (Programming Language)
NumPy
Tensorflow
Pytorch
Pandas
Scikit Learn
Databricks
Job description
Lognext en Santiago de Compostela busca un Data Scientist para unirse a nuestro equipo.Buscamos talento capaz de gestionar el ciclo completo de un proyecto de datos, desde requisitos hasta despliegue y monitorización de modelos.El candidato ideal posee experiencia en Python, Pandas/NumPy y ML con Scikit-learn, TensorFlow o PyTorch; familiaridad con Databricks y posibilidad de trabajar con Palantir para integración de datos.#J-*****-Ljbffr
Requirements
El candidato ideal posee experiencia en Python, Pandas/NumPy y ML con Scikit-learn, TensorFlow o PyTorch; familiaridad con Databricks y posibilidad de trabajar con Palantir para integración de datos.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.buscojobs.com.es
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlists3:14 min
Structuring career paths and localized data architectures
Ulrich Wurstbauer +1 · 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 · World Congress 2024
2:34 min
Maximizing execution memory effectively via python numpy broadcasting
Jodie Burchell · LIVE
3:33 min
Refactoring data science workflows using Rapids QDF and Pandas
Paul Graham · LIVE
3:23 min
Exploring specialized career paths within the data science ecosystem
Julian Joseph · LIVE
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