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Jobs in Valencia, Spain

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EUR 50,000 - 80,000
30+ days ago
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Full Stack Machine Learning Engineer
JR Spain
Bilbao
Remote
EUR 50,000 - 80,000
Full time
30+ days ago

Job summary

A rapidly growing HR tech startup in Italy is seeking a Full Stack Machine Learning Engineer to join its Science & AI team. The role involves contributing to innovative AI initiatives aimed at skill assessment, requiring substantial expertise in machine learning, programming skills in Python and Typescript, and a solid understanding of database management. The successful candidate will work remotely from the EU, collaborating closely with teams to design and deploy advanced conversational AI systems.

Qualifications

  • 5+ years of research or practical experience in machine or deep learning.
  • 3+ years of experience in deploying GenAI.
  • Experience in ML-Op pipeline and versioning.

Responsibilities

  • Contribute to cutting-edge AI initiatives in designing and enhancing GenAI-driven assessment systems.
  • Participate in deploying real-time GenAI-based conversational AI agents.
  • Build API web services.

Skills

Python
Typescript
MySQL
AWS
Fluency in English (C1)
Soft skills

Education

Degree in Computational Sciences or Data Science
Job description

Social network you want to login/join with:

Full Stack Machine Learning Engineer, bilbao

col-narrow-left

Client:

Clutch

Location:

bilbao, Spain

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

803589627910606028832466

Job Views:

1

Posted:

23.07.2025

Expiry Date:

06.09.2025

col-wide

Job Description:

Our costumer is a rapidly growing HR tech startup based in Italy has developed a SaaS platform for AI-powered Skill Assessment. The solution is designed to help organizations identify top talent and evaluate skills, cultural alignment, and leadership potential across the workforce. In today’s dynamic labor market, where skills have become a top priority for HR departments, this platform enables companies to conduct large-scale AI assessments for both external recruitment and internal development. The company recently secured €5.5 million in funding from leading VC firms and currently partners with major enterprises across banking, retail, and luxury sectors.

We are looking for an experienced Full Stack Machine Learning Engineer to join its Science & AI team in reshaping the future of skill assessment. The ML engineer will contribute to cutting-edge AI initiatives led by the company’s head of science, playing a key role in designing, fine-tuning, deploying, and enhancing an advanced GenAI-driven assessment system in an agile environment.

Experiences:

  • A background in computational-enabled or data science disciplines is required
  • A background in a subdiscipline of behavioral science will be regarded as an advantage
  • 5+ years of research or practical experience in machine or deep learning, with a focus on natural language processing and large language modeling
  • 3+ years of experience in training and deploying GenAI in a software system, whether on-cloud or in-premise.
  • Additional experience in retrieval augmented generation (RAG) is preferred.
  • The ability to design and deploy real-time GenAI-based conversational AI agents is favored.
  • Experience in ML-Op pipeline and versioning, from data to model deployment
  • Experience in building API web service

Skills:

  • Fluency in programming languages, including Python and Typescript.
  • Knowledge in database management such as with mySQL
  • Experience with online platforms such as AWS
  • Knowledge in designing a Chatbot-enabled web interface with customizable prompts, vector databases, and code agent functionality.
  • Fluency in English (C1) (team communication language)
  • Organized, agreeable, open-minded, and team-oriented soft-skills

Location: Remote but based in the EU - HQ is based in Milan, flexibility to work remotely

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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