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Quantum?Ai Ml Engineer: Llm Compression & Innovation - €40.000 A Year

Multiverse Computing
Zaragoza, Spain
about 1 month ago
Apply on www.buscojobs.com.es
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
2 years minimum
Compensation
€40,000.0
Working hours
Regular working hours
Job source
www.buscojobs.com.es

Tech stack

Artificial Intelligence Machine Learning Large Language Models Deep Learning Artificial Intelligence Markup Language (AIML)

Job description

A European deep-tech leader is seeking a Machine Learning Engineer to develop innovative solutions for compressing Large Language Models.The ideal candidate will have a Bachelor’s, Master’s or Ph.D. in a relevant field and over 2 years of experience in deep learning.The role offers a competitive salary starting from €40,000, hybrid working options, relocation support, and bonuses.This is an opportunity to work at the forefront of quantum-AI technologies within a fast-growth company.#J-*****-Ljbffr

Requirements

The ideal candidate will have a Bachelor’s, Master’s or Ph.D. in a relevant field and over 2 years of experience in deep learning.

Benefits & conditions

The role offers a competitive salary starting from €40,000, hybrid working options, relocation support, and bonuses. This is an opportunity to work at the forefront of quantum-AI technologies within a fast-growth company. #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

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

3:32 min

Fundamentals and limitations of large language models

Krzystof Czieslak · LIVE

5:09 min

Future industry applications and replacing classical machine learning

Tomislav Tipurić Tomislav Tipurić · World Congress 2023

3:51 min

Overcoming hardware configuration barriers in machine learning

Jose Luis Latorre Millas · LIVE

2:17 min

Distinguishing between AI, machine learning, and deep learning

Mary Grygleski Mary Grygleski · LIVE

Videos

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LIVE • over 4 years ago

Introduction to Azure Machine Learning

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LIVE • almost 5 years ago

Getting Started with Machine Learning

Alexandra Waldherr

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58:00
LIVE • over 2 years ago

Creating Industry ready solutions with LLM Models

Vijay Krishan Gupta, Gauravdeep Singh Lotey

Architecting the Future: Leveraging AI, Cloud, and Data for Business Success thumbnail
32:46
World Congress 2024 • about 2 years ago

Architecting the Future: Leveraging AI, Cloud, and Data for Business Success

Alexander Wallner, Christian Ertler, Karin Janina Schweizer, Tomislav Tipurić

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42:56
LIVE • almost 5 years ago

Geometric deep learning for drug discovery

Noah Weber

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects thumbnail
48:01
World Congress 2022 • over 4 years ago

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects

Jan Zawadzki

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