AI/ML Engineer

Capitole
Barcelona, Spain
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
3 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Continuous Integration Python (Programming Language) Software Engineering Data Processing Pytorch Large Language Models Git Pandas Scikit Learn
+2 more
Docker Databricks

Job description

  • Writing structured, quality Python with real engineering discipline: PR practices, Git, CI/CD, Docker .
  • Designing end-to-end NLP pipelines - data processing, model development, evaluation, deployment.
  • Getting hands-on with LLMs, embeddings and modern GenAI tooling (OpenAI, AWS Bedrock).

Requirements

  • Brings 3-5 years of experience building production features/systems with AI/ML .
  • Writes advanced, production-grade Python - not notebook scripting.
  • Has worked on real NLP / GenAI / LLM projects and can explain them in depth - embeddings, evaluation metrics beyond accuracy, how they assessed system performance.
  • Thinks like an ML engineer : moves models to production, understands the full pipeline, applies solid coding practices ( Git, PR, CI/CD, Docker ).
  • Knows their way around ML libraries (scikit-learn, PyTorch) and data processing (pandas)., * Experience with Databricks.
  • Familiarity with AWS infrastructure (S3, Lambda, Bedrock).
  • Understanding of data augmentation, bias and training pipelines .
  • A Software Engineering background with a recent move into AI/ML.

Location: Barcelona. (Hybrid: 1-2 days in the office).

Language : English C1 (Fluent, all team communication is in English).

Benefits & conditions

  • An individual training budget of €1,200 for whatever you choose: events, books, certifications or courses.
  • Monthly check-ins with your team for continuous feedback.
  • Flexible working hours to balance your professional and personal life.
  • Private health insurance fully paid by Capitole.
  • Flexible compensation: meal, transport and/or childcare vouchers.
  • WellHub (Gymforless). xbhjioe
  • Discounts on major brands for employees (Club Capitole).

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About the company

This is a hands-on engineering role , where focus is shipping GenAI/NLP models to production in Python , working shoulder-to-shoulder with MLEs inside a lean 5-6 person squad across 3-4 projects. If you code your ML solutions yourself rather than leaning on out-of-the-box AutoML tools, and you like owning the technical solution end-to-end, this is for you.

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