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Remote Ai/Nlp Data Engineer - Build & Deploy Generative Ai

Jobgether
Barcelona, Spain
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
3 years minimum
Working hours
Regular working hours
Job source
www.buscojobs.com.es

Tech stack

Artificial Intelligence Amazon Web Services Cloud Computing Programming Tools Python (Programming Language) Pytorch Generative AI Machine Learning Operations Data Pipelines

Job description

Jobgether is seeking an AI/NLP/Data Engineer to build advanced AI and NLP solutions that transform digital customer experiences. You will design data pipelines, train and deploy models, and collaborate to bring AI capabilities from concept to production.The role requires 3+ years in AI/ML/NLP, a Master’s degree, and hands-on experience with PyTorch, Python, and cloud platforms (AWS/GCP). Fully remote with equity opportunities and modern development tools.#J-*****-Ljbffr

Requirements

The role requires 3+ years in AI/ML/NLP, a Master’s degree, and hands-on experience with PyTorch, Python, and cloud platforms (AWS/GCP). Fully remote with equity opportunities and modern development tools. #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

Good distractions

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

Moments

Explore playlists

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · WWC 2023

2:37 min

Tracing the evolution from early AI to generative AI

Mike Mike · WWC 2025

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · WWC 2024

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · WWC Europe 2026

1:51 min

Leveraging generative AI as a collaborative engineering teammate

Anu Bharadwaj Anu Bharadwaj · WWC 2023

Videos

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Your Next AI Needs 10,000 GPUs. Now What? thumbnail
29:52
WWC 2025 • 12 months ago

Your Next AI Needs 10,000 GPUs. Now What?

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Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding) thumbnail
29:32
WWC Europe 2026 • about 1 month ago

Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)

Christoph Lohrmann, Utz Bacher

Why and when should we consider Stream Processing frameworks in our solutions thumbnail
30:51
WWC 2024 • almost 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

Soroosh Khodami

Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative thumbnail
29:27
WWC 2023 • almost 3 years ago

Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative

David Estevez

How E.On productionizes its AI model & Implementation of Secure Generative AI. thumbnail
19:27
WWC 2023 • about 3 years ago

How E.On productionizes its AI model & Implementation of Secure Generative AI.

Kapil Gupta

The Future of Developer Experience with GenAI: Driving Engineering Excellence thumbnail
28:38
WWC 2024 • almost 2 years ago

The Future of Developer Experience with GenAI: Driving Engineering Excellence

Daniel Tao, Kathrin Schwan, Faris Haddad, Florian Schaudel

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