Machine Learning Engineer - €40.000 A Year

Deeprec Ai
Zaragoza, Spain
6 days ago
Apply on www.buscojobs.com.es
Prepare application

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
4 years minimum
Compensation
€40,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Big Data Data Files Distributed Systems Python (Programming Language) Machine Learning Working Model 2D Large Language Models Pandas Information Technology HuggingFace Data Pipelines

Job description

Machine Learning Engineer (Product) - Fixed-Term ContractLocation: Zaragoza (Hybrid)Contract: Fixed-term until June **Es posible que un gran número de candidatos se presenten a este puesto, así que asegúrese de enviar su CV y su solicitud lo antes posible.We’re looking for a Machine Learning Engineer to join a leading European deep-tech company at the cutting edge of AI innovation.This is a chance to make real impact on next-generation large language model (LLM) solutions that are redefining how AI is built, optimized, and deployed.What You’ll DoBuild, optimize, and scale data pipelines for LLM training and fine-tuning.Develop techniques for data sourcing, cleaning, validation, and enhancement.Work cross-functionally with ML engineers and researchers to deliver production-ready, high-performance models.Implement and test advanced compression and optimization methods for AI models.Stay ahead of trends in LLM architectures, evaluation, and dataset curation.What You’ll BringMaster’s or PhD in Computer Science, AI, Data Science, or related field - or equivalent experience.4+ years of hands-on experience in ML or NLP (especially with LLMs).Strong Python skills and familiarity with libraries such as Hugging Face, Pandas, and NumPy.Experience managing large-scale datasets and distributed computing environments.Collaborative mindset and solid understanding of modern ML development practices.What’s on OfferCompetitive salary (from €40,000 per annum).Fixed-term contract until June ** with signing and completion bonuses.Hybrid working model - flexible hours with regular on-site collaboration.Opportunity to work on cutting-edge AI technology within a fast-scaling, international environment.xsgfvud This role offers a unique opportunity to work on impactful AI engineering projects while enjoying flexibility, collaboration, and exposure to world-class research and development.

Requirements

This is a chance to make real impact on next-generation large language model (LLM) solutions that are redefining how AI is built, optimized, and deployed.What You’ll DoBuild, optimize, and scale data pipelines for LLM training and fine-tuning.Develop techniques for data sourcing, cleaning, validation, and enhancement.Work cross-functionally with ML engineers and researchers to deliver production-ready, high-performance models.Implement and test advanced compression and optimization methods for AI models.Stay ahead of trends in LLM architectures, evaluation, and dataset curation.What You’ll BringMaster’s or PhD in Computer Science, AI, Data Science, or related field - or equivalent experience.4+ years of hands-on experience in ML or NLP (especially with LLMs). Strong Python skills and familiarity with libraries such as Hugging Face, Pandas, and NumPy.Experience managing large-scale datasets and distributed computing environments.Collaborative mindset and solid understanding of modern ML development practices.What’s on OfferCompetitive salary (from €40,000 per annum).

Benefits & conditions

Fixed-term contract until June ** with signing and completion bonuses.Hybrid working model - flexible hours with regular on-site collaboration.Opportunity to work on cutting-edge AI technology within a fast-scaling, international environment. xsgfvud This role offers a unique opportunity to work on impactful AI engineering projects while enjoying flexibility, collaboration, and exposure to world-class research and development.

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.

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · World Congress 2024

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:38 min

Reusing email software standards for HTTP file uploads

Imran Nazar · World Congress 2023

5:01 min

Leveraging large language models for code optimization and development

Stephan Gillich Stephan Gillich +3 · World Congress 2024

6:58 min

Analyzing production code coverage data using pandas

Markus Harrer Markus Harrer · World Congress 2021

4:20 min

Combating human workforce shortages with specialized language models

Markus Hacker Markus Hacker +3 · World Congress 2024

Videos

See all

Related articles

See all