20 publicaciones de empleo destacadas de data scientist and ai engineer with en madrid, md (¡Están contratando!)

Applied Scientist Intern
TomTom —Madrid, Madrid provincia
- Trabajo híbrido
- Informática
- Investigación
- Máster
Solicitud rápida
Software Engineer
Rover.com —Madrid, Madrid provincia
- De 51.837 € a 62.832 € al año
- Jornada completa
- Trabajo híbrido
- Oficina
- Python
- Abono gimnasio
- Plan de pensiones
Solicitud rápida
Applied Scientist, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Java
- Máster
Senior/Lead Data Scientist – Agents Team - BCN/MAD
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- Máster
- Machine learning
Solicitud rápida
14d
Data Engineer
ThetaRay —Madrid, Madrid provincia
- Español
- Informática
- Inglés
Generative AI
TMC —Madrid, Madrid provincia
- Azure
- Inteligencia artificial
- Python
Applied Scientist, EU INTech Consumer Selection Discovery, NintAI
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Investigación
- Java
Environmental Risk Consultant
Worley —Madrid, Madrid provincia
- Español
- Microsoft Excel
- Inglés
Senior/Lead Machine Learning Engineer
IFS —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Solicitud rápida
GCP Data Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Java
- SQL
- Machine learning
Principal Software Engineer - QuantumBlack, AI by McKinsey
McKinsey & Company —Madrid, Madrid provincia
- Español
- Azure
- Inglés
Senior Machine Learning / AI Engineer
Chegg —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- Máster
- SQL
11d
GCP Senior AI Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Español
- Informática
- Inglés
Data Engineer
Lighthouse Intelligence Ltd. —Madrid, Madrid provincia
- Jornada completa
- Hotel
- Machine learning
- Python
AI PORTFOLIO PRINCIPAL MANAGER
BBVA —Madrid, Madrid provincia
- Jornada completa
- Inglés
- Máster
- Grado
12d
AI Manager Technology Advisor
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Informática
Senior Data Engineer
Wunderman Thompson MAP —Madrid, Madrid provincia
- Azure
- Oficina
- SQL
Senior/Lead AI Engineer – Agents Team - BCN/MAD/MUN
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- Máster
- Machine learning
Solicitud rápida
13d
Senior AI Engineer / AI Architect
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Ventas
Senior Product Designer
Cabify —Madrid, Madrid provincia
- De 50.000 € a 74.000 € al año
- Trabajo híbrido
- Español
- Inglés
- Oficina
Solicitud rápida

Quiero recibir la alerta de empleo más reciente de data scientist and ai engineer with en madrid, md

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Applied Scientist Intern

TomTom -
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Contrato en prácticas

Cualificaciones

TensorFlow
Informática
Spark
Investigación
Máster
Machine learning
Usabilidad
NLP
Python

Descripción completa del empleo

The Applied Scientist Intern in the MAPS POIs team contributes to the research, experimentation, and development of data-driven and machine-learning solutions that enhance the accuracy, coverage, and usability of TomTom's maps and Points of Interest products. This internship gives you hands-on experience applying scientific and analytical methods to real-world problems at scale, working alongside Applied Scientists and Engineers on challenges that directly impact TomTom's products.

What you'll do:

You will work embedded in the POI team on concrete research and engineering tasks, with guidance from senior engineers/scientists. You will:

Explore and experiment with ML/AI approaches to solve POI-domain problems such as entity matching, address parsing, data quality assessment, or coverage analysis
Implement and evaluate models and algorithmic solutions on real-world, large-scale geospatial datasets
Design and run experiments, analyze results, and translate findings into clear insights, recommendations and implementation
Be part of the development of data pipelines and tooling that support model training, evaluation, and analysis
Collaborate with Applied Scientists, Engineers, and Product stakeholders to understand requirements and integrate your work into the broader team workflow
Document experiments, methodologies, and results clearly to support knowledge sharing within the team

What you'll need:

Currently enrolled in a Master's programme in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field
Solid grounding in machine learning fundamentals — supervised/unsupervised learning, model evaluation, feature engineering
Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn (from coursework, research, or personal projects)
Programming proficiency in Python; experience with data manipulation libraries (pandas, NumPy, Spark is a plus)
Familiarity with NLP or embedding-based methods (e.g., Sentence Transformers, BERT-based models) is a strong plus
Interest in geospatial data, POI systems, addressing, or location intelligence
Analytical mindset with the ability to design experiments, interpret results critically, and communicate findings clearly
Collaborative and curious — comfortable asking questions, working iteratively, and learning from feedback

What you'll learn:

By the end of the internship you will have:

Worked on production-scale geospatial and POI data with real business impact
Gained experience in the full ML experimentation cycle - from problem framing and data analysis to model development and evaluation
Deepened your understanding of applied ML in a domain where data quality, scale, and semantic complexity are central challenges
Collaborated in a cross-functional team of scientists, engineers, and product managers

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Solicitud rápida

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Quiero recibir la alerta de empleo más reciente de data scientist and ai engineer with en madrid, md

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