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Glintt Global

Technology consulting and healthcare solutions provider

Senior Data Scientist

Applied Machine LearningPosted on Nov 12
Full-timeMadrid, SpainNo salary listed

About the Job

Requirements

  • More than 5 years of experience as a Data Scientist.
  • Demonstrable experience taking solutions using large language models and retrieval-augmented generation to production.
  • Advanced proficiency in Python, PySpark, and SQL.
  • Experience with embeddings, semantic or hybrid search, and recommendation systems.
  • Experience in cloud environments and MLOps.
  • Professional-level English.
  • Availability to work in a hybrid model, with one day per week in person in Madrid.

Responsibilities

  • Design and bring solutions based on large language models and retrieval-augmented generation into production.
  • Develop recommendation systems and predictive models.
  • Work with embeddings and semantic or hybrid search.
  • Build APIs, applications, and end-to-end automations.
  • Apply MLOps best practices to deploy, monitor, and maintain models.
  • Optimize solutions for performance, latency, and cost.
  • Collaborate with technical and business teams to turn needs into data solutions.

Desired Qualifications

  • Experience with Google Cloud Platform.
  • Experience with deep-learning recommenders and forecasting.
  • Experience with open-source large language models and fine-tuning.
  • Experience in digital media or advertising.
  • Use of AI-assisted development tools such as Claude Code.

About the Company

Glintt Global

Technology consulting and healthcare solutions provider

Glintt Global, S.A. provides technology consulting and services across healthcare, banking, telecom, energy, and public administration. It helps clients modernize IT through services such as business and IT consulting, software development, systems integration, and infrastructure management, delivering software and tailored IT solutions that connect systems and support digital transformation. Its edge comes from a strong Iberian healthcare footprint (serving hundreds of hospitals, clinics, and pharmacies) and expanding internationally to Spain, Angola, and beyond, along with broad cross-sector capabilities. Its goal is to improve organizational efficiency and people’s lives by helping organizations adopt digital solutions and better manage their information systems.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Sintra, Portugal
Founded
2008

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