6 publicaciones de empleo destacadas de ai full stack en alcobendas, md (¡Están contratando!)

Senior Data Platform / Data Engineer
Straumann Group —Madrid, Madrid provincia
- Jornada completa
- AWS
- Machine learning
- Python
Senior Data Engineer - Analytics Platform
Ebury —Madrid, Madrid provincia
- Español
- Inglés
- Oficina
Solicitud rápida
1d
Revenue Operations Manager (all genders)
fiskaly —Madrid, Madrid provincia
- De 60.000 € a 70.000 € al año
- Jornada completa
- Teletrabajo
- Español
- Ventas
- Inglés
Solicitud rápida
14d
Client Manager
Lenovo —Madrid, Madrid provincia
- Ventas
- Inglés
- Grado
Senior Product Marketing Manager (f/m/d)
Apaleo —Madrid, Madrid provincia
- Teletrabajo
- Inglés
- Marketing
- Vacaciones pagadas
Solicitud rápida
7d
Revenue Enablement Manager (m/f/d)
Speexx —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- CRM software
- Ventas
- Inglés
Solicitud rápida

Other jobs to consider

Find your next job by exploring related positions.

Social Media Manager
Ultralytics —Madrid, Madrid provincia
This full-time Social Media Manager position is based in our brand-new Ultralytics office in London, UK, with a hybrid model of 3 days in-office and 2 days…
De 100.000 € a 200.000 € al año
SEO and AI visibility intern
Signify —Madrid, Madrid provincia
Content & Prompt Engineering: Help create and refine SEO-optimized content, including the development of prompts to leverage AI in content drafting and curation…

Quiero recibir la alerta de empleo más reciente de ai full stack en alcobendas, md

Al iniciar sesión en tu cuenta, aceptas las Condiciones del servicio de SimplyHired, nuestra Política sobre cookies y nuestra Política de privacidad.

Explorar empleos en más ubicaciones

ai full stack jobs near alcobendas, md

Empleos de Data Engineer en Madrid, Madrid Provincia

Empleos de Store Manager en Sevilla Provincia

Empleos de Senior Sales en Barcelona, Barcelona Provincia

Empleos de Community Manager en Madrid, Madrid Provincia

Empleos de Digital Media Manager Media Manager en Madrid Provincia

Empleos de Community Manager en Comunitat Valenciana

Empleos de Marketing en Palma De Mallorca, Illes Balears Provincia

Empleos de Marketing Junior en Madrid, Madrid Provincia

Empleos de Marketing en Valencia Provincia

Empleos de Legal Operations en Catalunya

Empleos de Operations Associate en En Remoto

Empleos de Startup Junior Growth Operations en Madrid Provincia

Empleos de Operations Associate en Barcelona, Barcelona Provincia

Empleos de Senior Operations Manager en Barcelona, Barcelona Provincia

Empleos de Platform Engineer en Málaga, Málaga Provincia

Empleos de Commissioning Engineer en Barcelona, Barcelona Provincia

Empleos de Hvac Engineer en Madrid Provincia

Empleos de Data Engineer en Algeciras, Cádiz Provincia

Empleos de Data Engineer en 30002 Murcia, Murcia Provincia

Empleos de Project Engineer en Manresa, Barcelona Provincia

Senior Data Platform / Data Engineer

Straumann Group -
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
AWS
Machine learning
PostgreSQL
Python

Descripción completa del empleo

Straumann Group
At Straumann Group we’re on an exciting journey of growth, innovation, and impact - driven by our mission to improve oral health and transform millions of lives worldwide. United by purpose, we bring our best selves to work every day, embracing a high-performance, player-learner culture that inspires collaboration, curiosity, and ambition. Here, you’ll have the opportunity to take charge of your own career, harnessing your skills, passion, and enthusiasm for learning to continually grow and progress. Together, we’re not just shaping brighter smiles, we’re unlocking the potential of people everywhere, including our own.

About the role
We are looking for a Senior Data Platform / Data Engineer to join our ML Platform team and help build and scale the data infrastructure that powers our AI products in dentistry. Our platform supports the full AI development lifecycle, from raw data ingestion and annotation workflows to dataset versioning and model training pipelines. You will work closely with Machine Learning Researchers (MLRs), MLOps engineers, and product teams to ensure our data infrastructure is reliable, scalable, and easy to use.
A key focus of the role is improving our Data Lakehouse (DLH) and dataset management workflows, including dataset versioning (DVC) and improving how data is prepared, extracted, and consumed across research and production systems.

What you will work on:
You will play a key role in shaping the next generation of our data platform.
Typical responsibilities include:
Data platform ownership

Design and evolve the Data Lakehouse (DLH) architecture used across our ML teams.
Improve the reliability and structure of data ingestion, extraction, and transformation pipelines.
Ensure datasets used for training and evaluation are consistent, reproducible, and well documented.

Dataset lifecycle management

Improve workflows for dataset versioning and reproducibility using tools such as DVC.
Design solutions for managing multiple versions of datasets and annotations across experiments and models.
Improve the ability for researchers to retrieve the correct dataset versions reliably.

Data pipelines and infrastructure

Build and maintain scalable data pipelines in Python.
Improve metadata management, dataset validation, and data quality monitoring.
Optimize data workflows across AWS-based infrastructure.

Collaboration with ML teams

Work closely with ML researchers and ML engineers to understand their data needs.
Support research workflows with reliable and efficient data access patterns.
Help translate research requirements into robust platform capabilities.

Data governance and quality

Implement practices for data quality, reproducibility, and traceability across the ML lifecycle.
Ensure our data infrastructure meets the requirements of regulated AI development.

What we’re looking for:
Must have:

Strong Python engineering skills
Experience building data pipelines or data platforms
Experience working with AWS
Experience working with large datasets used in ML workflows
Strong software engineering practices (testing, CI/CD, documentation)
Experience collaborating with ML teams or working in AI environments

Nice to have:

Experience with dataset versioning tools such as DVC
Experience with Kubernetes
Experience with data lakehouse architectures
Experience working with annotation pipelines or ML training datasets
Experience with PostgreSQL, Metabase, or similar data tooling
Experience working in regulated environments (medical / healthcare AI)

Our stack

AWS
Python
Kubernetes
PostgreSQL
Metabase
DVC for dataset versioning
Internal Data Lakehouse infrastructure

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.

Employment Type: Full Time

Alternative Locations: Spain : Madrid || Poland : Gdansk || Poland : Warsaw || Poland : Wroclaw

Travel Percentage: 0 - 10%

Requisition ID: 20071

Solicitar ahora

Refina tu búsqueda

ai full stack empleos en alcobendas, md

Senior Data Platform / Data Engineer

Senior Data Engineer - Analytics Platform

Revenue Operations Manager (all genders)

Client Manager

Senior Product Marketing Manager (f/m/d)

Revenue Enablement Manager (m/f/d)

Other jobs to consider

Quiero recibir la alerta de empleo más reciente de ai full stack en alcobendas, md

Related Searches

Explorar empleos en más ubicaciones

Herramientas para candidatos

Herramientas para empresas

Buscar

Mantener la conexión