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Ai Deployment Engineer - Build & Optimize Ai Apps

microTECH Global Limited
Granada, Spain
9 days ago
Apply on www.buscojobs.com.es
Prepare application

Role details

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

Tech stack

Artificial Intelligence Tensorflow Software Deployment Pytorch Machine Learning Operations

Job description

microTECH Global Limited seeks AI engineers with hands-on experience in AI application development and model deployment in a high-performance environment in Spain. The role emphasizes building scalable AI solutions, optimizing model performance, and deploying AI workloads across platforms.The ideal candidate has 4+ years in AI roles, a strong background in PyTorch/TensorFlow, and holds a Bachelor, Master or PhD. English proficiency at C1 is required for collaboration with international teams.#J-*****-Ljbffr

Requirements

microTECH Global Limited seeks AI engineers with hands-on experience in AI application development and model deployment in a high-performance environment in Spain. The role emphasizes building scalable AI solutions, optimizing model performance, and deploying AI workloads across platforms. The ideal candidate has 4+ years in AI roles, a strong background in PyTorch/TensorFlow, and holds a Bachelor, Master or PhD. English proficiency at C1 is required for collaboration with international teams. #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

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

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

4:37 min

Achieving boring and safe software deployments

Marcel Cremer Marcel Cremer · Europe 2026 Virtual

1:49 min

Accelerating initial deployments using AI generation agents

Marcel Scherenberg Marcel Scherenberg · World Congress 2025

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

3:11 min

The inherent pain of manual software deployment cycles

Steve Upton Steve Upton · World Congress 2024

Videos

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

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding) thumbnail
29:32
World Congress 2026 Europe • about 2 months ago

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

Christoph Lohrmann, Utz Bacher

Machine learning in the browser with TensorFlowjs thumbnail
38:24
LIVE • over 5 years ago

Machine learning in the browser with TensorFlowjs

Håkan Silfvernagel

100 times more frequent deployments: How did we create a high performance team? thumbnail
27:31
World Congress 2024 • about 2 years ago

100 times more frequent deployments: How did we create a high performance team?

Mesut Ayata

Developing an AI.SDK thumbnail
38:12
World Congress 2021 • about 5 years ago

Developing an AI.SDK

Daniel Graff, Andreas Wittmann

Developer Experience, Platform Engineering and AI powered Apps thumbnail
31:38
World Congress 2024 • about 2 years ago

Developer Experience, Platform Engineering and AI powered Apps

Ignacio Riesgo, Natale Vinto

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