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LM
Luis Minvielle
What Are Large Language Models?
almost 3 years ago
GenAI ML Engineer: Build Production NLP & LLM Systems
Capitole
Spain
19 days ago
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Apply on www.jobleads.com
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
Compensation
€52,000.0 - €72,000.0
Working hours
Regular working hours
Languages
English
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Python (Programming Language)
Pytorch
Pandas
Docker
Job description
Capitole seeks an AI/ML Engineer to ship GenAI/NLP features to production in Python. You will work with a lean squad across multiple projects, building production-ready NLP systems from prototype to deployment.
Requirements
Ideal candidates have 3-5 years building production AI/ML features, strong Python, and familiarity with PyTorch, Pandas, Docker, and AWS Bedrock. Hybrid work with some office days and English as team language.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.jobleads.com
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 playlists2:03 min
Accelerating pandas dataframes using cudf module plugins
Ankit Patel · World Congress 2024
2:07 min
Inspecting default bridge architectures and custom Docker networks
Oliver Seitz · World Congress 2025
2:35 min
Preventing remote code execution in PyTorch models
Balázs Kiss · World Congress 2023
2:08 min
Essential engineering roles in the generative AI space
Mary Grygleski · LIVE
6:58 min
Analyzing production code coverage data using pandas
Markus Harrer · World Congress 2021
3:14 min
Building a community-governed LAMP stack for open AI
Raffi Krikorian · World Congress 2026 Europe
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