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LM
Luis Minvielle
How to Become an AI Engineer
almost 3 years ago
Ml Engineer & Data Scientist: Build Production Models
Ayesa
León, Spain
6 days ago
- Discuss this with your agent
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Apply on www.buscojobs.com.es
Prepare application
- Draft this with your agent
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Python (Programming Language)
Machine Learning
Tensorflow
SQL Databases
Pytorch
Git
Pyspark
Scikit Learn
Machine Learning Operations
Job description
Ayesa Digital busca un/a Data Scientist / Machine Learning Engineer para trabajar en el ciclo completo del dato, diseñando, entrenando e implementando modelos en producción en un entorno productivo en Girona.Se valorará experiencia en Python, PySpark, MLflow y librerías como scikit-learn, TensorFlow o PyTorch, además de SQL avanzado y Git/GitHub.Requisitos 3-5 años en DS/ML/DE y colaboración con negocio.#J-*****-Ljbffr
Requirements
Se valorará experiencia en Python, PySpark, MLflow y librerías como scikit-learn, TensorFlow o PyTorch, además de SQL avanzado y Git/GitHub. Requisitos 3-5 años en DS/ML/DE y colaboración con negocio. #J-*****-Ljbffr
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 playlists1:49 min
The gap between data scientists and software engineers
Nils Kasseckert · World Congress 2023
6:21 min
Investigating push inefficiencies with upstream Git experts
Jonathan Creamer · Coffee With Developers
2:35 min
Preventing remote code execution in PyTorch models
Balázs Kiss · World Congress 2023
4:32 min
Harnessing Spark with Python using PySpark and Py4J
Ayon Roy · LIVE
3:37 min
Scaling machine learning pipelines from prototypes to petabytes
Julian Joseph · LIVE
1:06 min
Compiling PyTorch environments for advanced time forecasting
Christoph Lohrmann +1 · World Congress 2026 Europe
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