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LM
Luis Minvielle
How to Become an AI Engineer
almost 3 years ago
Ml Data Engineer - Production Ai Pipelines
Insud Pharma
Valladolid, Spain
2 days ago
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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
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Python (Programming Language)
Software Quality Assurance (SQA)
Machine Learning Operations
Job description
INSUD PHARMA busca un Data Engineer / MLE para unirse a AI Labs en Madrid. Diseñarás y mantendrás pipelines de datos y ML, colaborando con Data Scientists y Desarrollo para llevar modelos a producción.Se requieren habilidades en Python, APIs, contenedores y nube (AWS/Azure), con experiencia en pipelines de datos y ML, y un fuerte enfoque en MLOps y calidad de software. Ofrecemos un entorno dinámico en una empresa global.#J-*****-Ljbffr
Requirements
Se requieren habilidades en Python, APIs, contenedores y nube (AWS/Azure), con experiencia en pipelines de datos y ML, y un fuerte enfoque en MLOps y calidad de software. Ofrecemos un entorno dinámico en una empresa global.
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 playlists3:46 min
Core terminology and audiences for interpretable artificial intelligence
Karol Przystalski · LIVE
3:49 min
Container hosting options available on Amazon Web Services
Federico Fregosi · World Congress 2022
1:06 min
Outline of free tools for Microsoft Azure
Radu Vunvulea · World Congress 2022
4:43 min
Building an anti-money laundering production architecture with Python
Stefan Donsa +1 · LIVE
3:21 min
Automating complete quality assurance pipelines with artificial intelligence
Evelyn Haslinger · LIVE
6:08 min
Applying software engineering environments and testing to data pipelines
Matthias Niehoff · World Congress 2024
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