20 publicaciones de empleo destacadas de python engineer data domains en barcelona, ct (¡Están contratando!)

Artificial Intelligence Engineer
Q-tech —Barcelona, Barcelona provincia
- Trabajo híbrido
- Doctorado
- Informática
- Máster
13h
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- Jornada completa
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Indra —Barcelona, Barcelona provincia
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SITA Switzerland Sarl —Barcelona, Barcelona provincia
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SITA Switzerland Sarl —Barcelona, Barcelona provincia
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Scopely —Barcelona, Barcelona provincia
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Zurich Insurance —Barcelona, Barcelona provincia
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Senior AI Solutions Engineer for Finance
Lighthouse Intelligence Ltd. —Barcelona, Barcelona provincia
- Jornada completa
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SITA Switzerland Sarl —Barcelona, Barcelona provincia
- Turno de 8 horas
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Quantica GmbH —Sant Cugat del Vallès, Barcelona provincia
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Lead, Cloud System Test Engineer
Schneider Electric —Barcelona, Barcelona provincia
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AI & Automation Specialist (Talent Acquisition)
Perk —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Inglés
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Staff Backend Engineer
Sparta —Barcelona, Barcelona provincia
- Jornada completa
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Artificial Intelligence Engineer

Q-tech
Barcelona, Barcelona provincia

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Detalles del empleo

Hace 13 horas

Cualificaciones

Doctorado
Informática
Máster
Machine learning
Deep learning
NLP
Ingeniería eléctrica
Python

Descripción completa del empleo

Descripción

At Q-Tech, we are looking for an AI Engineer to join one of our clients in the technology sector.

Preferably based in Barcelona or the surrounding area, but if you bring solid experience, we're open to other locations!

The Role

This is a hands-on engineering role. You will:

Research, design, and train models suited to the specific needs of our products
Fine-tune existing open-source and foundation models to maximize accuracy and performance
Own the full model lifecycle: data curation, experimentation, evaluation, and production deployment
Collaborate with mobile and backend engineers to integrate models directly into our apps
Define and track the metrics that drive quality — and continuously push them in the right direction

What We Are Looking For

Academic Background: Degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related technical field / Master's or PhD in machine learning or a related area is a strong plus
Hands-on experience training or fine-tuning deep learning models that are used in production.
Strong Python skills and experience with ML frameworks (PyTorch or JAX preferred)
Comfort with the full model development cycle: data pipelines, experiment tracking, evaluation, deployment and scaling.
Solid understanding of modern model architectures and when to apply them
Experience with the Hugging Face ecosystem (Transformers, Datasets, Hub) is a strong plus
Ability to work autonomously, make decisions under uncertainty, and ship without waiting for perfect conditions

Nice to Have

Experience across multiple model domains (vision, audio, NLP, multimodal)
Familiarity with on-device or edge inference optimization (quantization, distillation, ONNX)
Experience integrating ML models into mobile or production environments
Published research or open-source contributions in ML

AI Proficiency

You actively use AI tools in your own workflow — not as a novelty, but as a genuine productivity multiplier. You stay current with the state of the art and know how to apply the latest research to real product problems.

Communication

You communicate clearly and directly. You can explain technical decisions to non-technical stakeholders, flag blockers early, and collaborate effectively in a small, fast-moving team.

What We Offer

Attractive compensation, above market average
Hybrid work model based in Barcelona
High ownership from day one — you define the direction, not just execute on it
Work directly with the founders and a senior, low-ego team
A real product with real users — your work will have immediate, measurable impact

If you see this as an opportunity for professional growth and development, don't hesitate to apply. Let's talk!

#AI #Engineering #MLOps #DeepLearning #Python #HuggingFace

Barcelona

Híbrido

Persona de contacto:
[email protected]
617 104 165

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