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ML Systems Engineer - End-to-End Production AI

Digital Talent Agency
Spain
3 days ago
Apply on www.jobleads.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
€70,000.0 - €110,000.0
Working hours
Regular working hours
Job source
www.jobleads.com

Tech stack

Pytorch Deep Learning Backend Low Latency Data Pipelines

Job description

Digital Waffle is seeking a hands-on ML engineer to bridge research and production, owning end-to-end systems from data pipelines to deployed models. You will work on scale, latency, and cost, collaborating with backend and mobile teams to embed ML into products.

Requirements

Applicants should have deep learning expertise, experience shipping large models, and proficiency in PyTorch or JAX, with distributed training tooling like DeepSpeed or Ray. Remote-friendly options may apply.

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Prepare application

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 · World Congress 2023

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

5:48 min

Balancing delivery latency with stream reliability and scale

Phil Cluff · LIVE

1:09 min

Deploying algorithms and AI models to edge production

Irina Terekhova Irina Terekhova · World Congress 2026 Europe

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

Videos

See all
Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

Developing the Backend with Stefan Lingler, CTO at Shpock thumbnail
24:02
Coffee With Developers • over 8 years ago

Developing the Backend with Stefan Lingler, CTO at Shpock

Stefan Lingler, Thomas Pamminger

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

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

Christoph Lohrmann, Utz Bacher

Swapping Low Latency Data Storage Under High Load thumbnail
22:32
World Congress 2023 • almost 3 years ago

Swapping Low Latency Data Storage Under High Load

George Asafev

Serverless deployment of (large) NLP models thumbnail
39:02
LIVE • about 5 years ago

Serverless deployment of (large) NLP models

Marek Suppa

Localized Open Models in Production: What Builders Need to Know thumbnail
31:45
World Congress 2026 Europe • about 1 month ago

Localized Open Models in Production: What Builders Need to Know

Ankit Patel, Pierre-Louis Cedoz, Jamie Madden, Stephen Batifol

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