20 publicaciones de empleo destacadas en machine learning / mlops (¡Están contratando!)

Machine Learning Engineer, Amazon Tablets
Amazon Spain Services, S.L.U. —Madrid, Madrid provincia
- Jornada completa
- Informática
- Java
- AWS
Data Science / Machine Learning graduate
Symrise —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Informática
- DevOps
- Seguro de vida
Solicitud rápida
Senior Machine Learning Engineer
SDG Group —Barcelona, Barcelona provincia
- Teletrabajo
- Español
- Azure
- Informática
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
Principal Data Scientist (Machine Learning & AI)
SBS —Madrid, Madrid provincia
- Jornada completa
- Java
- Máster
- Machine learning
- Seguro dental
- Plan de pensiones
Solicitud rápida
Senior Machine Learning Site Reliability Engineer
Prima —Madrid, Madrid provincia
- Teletrabajo
- AWS
- Machine learning
- Desarrollo de software
- Abono gimnasio
Solicitud rápida
Ingeniero/a IA Generativa Python, LangChain, RAG
Grupo NS —Madrid, Madrid provincia
- De 24.000 € a 33.000 € al año
- Jornada completa
- Trabajo híbrido
- Azure
- Machine learning
- Desarrollo de software
R&D AI Transformation Intern
Roche —Sant Cugat del Vallès, Barcelona provincia
- Jornada completa
- Microsoft Powerpoint
- Microsoft Excel
- Informática
Director, Machine Learning Platform (all genders)
Glovo —Barcelona, Barcelona provincia
- Jornada completa
- DevOps
- Machine learning
- Liderazgo
Solicitud rápida
11d
AI Graduate Program
Getnet —Boadilla del Monte, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Sin necesidad de experiencia
Data Science/MLOps Engineer
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- AWS
- Machine learning
- Reparto de beneficios empresariales
- Seguro médico privado
Research Scientist (AI/ML)
NielsenIQ —Valladolid, Valladolid provincia
- De 38.400 € a 46.500 € al año
- Jornada completa
- Trabajo híbrido
- Azure
- Doctorado
- Informática
Solicitud rápida
5d
Senior AI & ML Engineer / Generative AI
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Machine learning
- Inteligencia artificial
- Reparto de beneficios empresariales
- Seguro médico privado
AI/ML Engineer
OUTRIGO INTERNATIONAL SL —Barcelona, Barcelona provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- AWS
Investigador/a - Docente en Inteligencia Artificial
Mondragon Goi Eskola Politeknikoa // Escuela Politécnica Superior —Arrasate/Mondragón, Guipúzcoa provincia
- Informática
- Inglés
- Máster
Director Data Science & GenAI - Healthcare & Life Sciences
Simon-Kucher & Partners —Madrid, Madrid provincia
- Machine learning
- Python
3h
Data Scientist
Kapsch TrafficCom Transportation S.A.U. —La Moraleja, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Inglés
- SQL
Solicitud rápida
1d
AI Architect (Agentic AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Máster
12d
Senior Machine Learning Engineer – Generative AI / LLMs
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Informática
- DevOps
Senior MLOps Engineer (Training & Inference Optimization)
MULTIVERSE COMPUTING —Donostia-San Sebastián, Guipúzcoa provincia
- DevOps
- Máster
- C++
Solicitud rápida
Senior Machine Learning Engineer – LLMs & Agentic AI
Keysight Technologies, Inc. —Barcelona, Barcelona provincia
- Media jornada
- Azure
- Doctorado
- Informática

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Machine Learning Engineer, Amazon Tablets

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

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Detalles del empleo

Jornada completa

Cualificaciones

Informática
Big data
C#
Android
Java
AWS
C++
Grado
Machine learning
Deep learning
NLP
UX
Desarrollo de software
S3
Redshift
SDLC
Patrones de diseño

Descripción completa del empleo

DESCRIPTION

At Amazon Devices & Services, we believe that ideas can change the world. We build the technology that becomes part of everyday life and connects millions of people in ways never thought possible. We engineer high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced game-changing devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. Join us as a Software Development Engineer to help us imagine the future, and let's make it reality together.

The Amazon Tablets Core Machine Learning team seeks to hire an ML Engineer who has a background in the design and development of scalable AI/ML systems, experience deploying models into production to serve millions of customers, a deep passion for building AI-driven products, and a proven track record of executing complex projects and delivering high business impact.

You will be an early member of the team - together with your team members, you will play a key role in establishing a strong foundation for customer-focused machine learning on the team. This role will provide you with the opportunity to drive impact at Amazon-scale, as well as work closely with with ML scientists in a cross-functional organization.

The long-term vision of the team is to make Amazon devices effortlessly engaging for all our customers. We are creating an experience that understands why and when customers engage with different types of contents or take different actions, and build our products to foresee and satisfy those needs. We are building the capabilities to give Amazon devices the ability to help customers discover and find all types of relevant information and contents through conversational interactions, suggestions, and personalized recommendations. We are exploring ways to enable an intelligent customer experience by leveraging advanced deep learning and large language models, generative AI, and machine learning on device.

Key job responsibilities
As an ML Engineer, you will:

Design and develop AI/ML products that involve large-scale data processing and modeling
Be responsible to help define requirements, create software designs, implement code to these specifications, and support products while deployed and used by our customers
Work with applied scientists, data scientists, engineers, and product managers to design and deliver AI/ML solutions in production at scale.
Develop ML workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML systems and data infrastructure.
Maintain and continuously improve our existing ML workflows, MLOps, and infrastructure.
Deliver customer-facing and internal ML solutions that empower our devices to provide the best experience for our customers.

A day in the life
As a Machine Learning Engineer on our team, you will collaborate with product managers, UX designers, and fellow engineers to build end-user-facing features on the Home screen app. You will design, plan, and deliver mid-sized software features — learning, employing, and sometimes building the tools and techniques needed to create performant, resource-efficient, and stable mobile apps and AWS services. You will build and train models that deliver better recommendations and rank content based on user behavior.

About the team
We build the Home screen app - the face of Fire Tablets that millions of Amazon customers worldwide use everyday. Our goal is to continue making the Home screen app CX highly engaging, and personalized for the user; and enable new revenue opportunities for Amazon. And we take pride in building a functionally rich, content-forward and visually appealing app that exceeds the performance bar customers would expect on a low-budget tablet device. We are a team of engineers who can dive deep into Android, and at the same time build large scale services leveraging AWS.

BASIC QUALIFICATIONS

Experience (non-internship) in professional software development
Experience in machine learning, data mining, information retrieval, statistics or natural language processing
Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design

PREFERRED QUALIFICATIONS

Bachelor's degree in computer science or equivalent
Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
Experience in building scalable machine-learning infrastructure and big data systems.

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 / mlops empleos

Machine Learning Engineer, Amazon Tablets

Data Science / Machine Learning graduate

Senior Machine Learning Engineer

Principal Data Scientist (Machine Learning & AI)

Senior Machine Learning Site Reliability Engineer

Ingeniero/a IA Generativa Python, LangChain, RAG

R&D AI Transformation Intern

Director, Machine Learning Platform (all genders)

AI Graduate Program

Data Science/MLOps Engineer

Research Scientist (AI/ML)

Senior AI & ML Engineer / Generative AI

AI/ML Engineer

Investigador/a - Docente en Inteligencia Artificial

Director Data Science & GenAI - Healthcare & Life Sciences

Data Scientist

AI Architect (Agentic AI)

Senior Machine Learning Engineer – Generative AI / LLMs

Senior MLOps Engineer (Training & Inference Optimization)

Senior Machine Learning Engineer – LLMs & Agentic AI

Quiero recibir la alerta de empleo más reciente de machine learning / mlops

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