20 publicaciones de empleo destacadas de machine learning engineer en alcobendas madrid provincia (¡Están contratando!)

Software Dev Engineer Machine Learning
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Informática
- Java
- SQL
QA Engineer (Hybrid)
Thales —Madrid, Madrid provincia
- Jornada completa
- Español
- Oracle
- Inglés
AI/ML Computational Scientist
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Doctorado
- Informática
- DevOps
Applied Scientist, EU INTech Consumer Selection Discovery, NintAI
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Investigación
- Java
GCP Data Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Java
- SQL
- Machine learning
Data Scientist, Parameta Solutions (Madrid)
TP ICAP —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Informática
- Oficina
Data Scientist Expert
BBVA —Madrid, Madrid provincia
- Jornada completa
- Microsoft Excel
- Oracle
- Mantenimiento
1d
Applied AI Architect
Anthropic —Madrid, Madrid provincia
- Español
- Informática
- Inglés
9d
Data Scientist
ThetaRay —Madrid, Madrid provincia
- Informática
- Inglés
- Machine learning
AI Software Engineering Analyst
SCH Banco Santander, S.A. —Madrid, Madrid provincia
- Jornada completa
- Español
- Azure
- Informática
- Abono gimnasio
- Seguro de vida
AI and Automation Engineer-Information Security Governance
Roche —Madrid, Madrid provincia
- Jornada completa
- Informática
- Máster
- Grado
Data Analyst – Business Intelligence
Behum —Madrid, Madrid provincia
- Trabajo híbrido
- Máster
- Machine learning
Solicitud rápida
10d
Senior/Lead Data Scientist – Agents Team - BCN/MAD
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- Máster
- Machine learning
Solicitud rápida
Senior Python Engineer - IA / LLMs
Infortec Consultores —Madrid, Madrid provincia
- Jornada completa
- Azure
- Java
- Máster
Solicitud rápida
Senior AI Engineer / AI Architect
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- Ventas
Telecommunications Algorithms Engineer
AXON-Networks —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Doctorado
- Inglés
- Parking gratuito
Solicitud rápida
Google AI Engineer Martech
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Español
- Informática
- Inglés
Software Engineer - Backend (Python, Cloud & APIs)
Managing Composites —Madrid, Madrid provincia
- De 36.000 € a 50.000 € al año
- Jornada completa
- AWS
- Machine learning
- APIs
Solicitud rápida
Data Scientist Intern - QuantumBlack, AI by McKinsey
McKinsey & Company —Madrid, Madrid provincia
- Jornada completa
- Español
- Inglés
- Machine learning
3d
AI Platform Engineer (OneAI)
OpenNebula Systems —Pozuelo de Alarcón, Madrid provincia
- Teletrabajo
- Informática
- Inglés
- Oficina
- Vacaciones pagadas

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Software Dev Engineer Machine Learning

Amazon Spain Services, S.L.U. -
Madrid, Madrid provincia

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Detalles del empleo

Jornada completa

Cualificaciones

CI/CD
Procesamiento de imagen
Informática
Visión artificial
Estructura de datos
NoSQL
Java
Arquitectura de microservicios
SQL
AWS
Habilidades de análisis
C++
Grado
Machine learning
Desarrollo de software
Escalabilidad
Cloud
Habilidades de comunicación
Python
Debugging
SDLC

Descripción completa del empleo

DESCRIPTION

Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.

Our Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDEs solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years.

At Amazon, we believe in ownership at every level. As an SDE-I, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers.

We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.

Please note these are not remote positions.

Key job responsibilities
Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.

Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.

Participate in code reviews and contribute to technical documentation.

Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.

Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.

Write clean, maintainable code following best practices and design patterns.

Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.

Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.

A day in the life
As a Specialised Software Development Engineer, you'll immerse yourself in challenging projects that push the boundaries of technology.
Your day might involve learning from and collaborating with ML scientists to implement new model architectures, optimizing training pipelines for better efficiency, analyzing model performance metrics, and participating in design reviews for new ML features.
You'll work closely with product managers to understand requirements and with senior engineers to ensure your solutions meet Amazon's high standards for reliability and scalability.

About the team
The Video Streaming Quality (VQ) team at Ring focuses on improving the end-to-end video and audio streaming experience across millions of smart home devices. Our work spans from optimizing quality & observability, encoding optimization and research of next gen codecs as well as advanced streaming architecture. Our tech stack includes ML/AI frameworks for real-time inference on device and cloud, video codecs (H.264, H.265, AV1), WebRTC streaming, FFmpeg-based transcoding pipelines, and AWS cloud infrastructure. New hires would have the opportunity to work on impactful AI/ML research and engineering projects within a growing, collaborative team that is part of Amazon's expanding Madrid Tech Hub.

BASIC QUALIFICATIONS

Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning
Experience working with or having knowledge of cloud computing and existing cloud technologies
Experience with programming languages such as Python, Java, C++
Education Requirements (must meet one):

- - Currently enrolled in Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
- - Completed Bachelor's or Graduate degree in specified fields
- Expected graduation between October 2025 - September 2026, OR graduated within the last 24 months

Demonstrated experience one or more of the following: Data structures implementation, Basic algorithm development, Object-oriented design principles

PREFERRED QUALIFICATIONS

Previous technical internship(s) or demonstrated project experience
Experience with video embedded
Experience with on-device ML model optimization for embedded/resource-constrained hardware
Experience with one or more of the following: AI tools for development productivity, Cloud platforms (preferably AWS), Database systems (SQL and NoSQL), Contributing to open-source projects, Version control systems, Debugging and troubleshooting complex systems
Strong problem-solving and analytical skills
Excellent written and verbal communication skills
Demonstrated ability to learn and adapt to new technologies quickly
Basic understanding of software development lifecycle (SDLC)

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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machine learning engineer empleos en alcobendas madrid provincia

Software Dev Engineer Machine Learning

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Applied Scientist, EU INTech Consumer Selection Discovery, NintAI

GCP Data Engineer

Data Scientist, Parameta Solutions (Madrid)

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Software Engineer - Backend (Python, Cloud & APIs)

Data Scientist Intern - QuantumBlack, AI by McKinsey

AI Platform Engineer (OneAI)

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