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

DevOps Engineer (AWS/IA) - Remote
UST —Madrid, Madrid provincia
- Teletrabajo
- DevOps
- Inglés
- AWS
- Abono gimnasio
Solicitud rápida
9d
Data Engineer Python
Sopra Steria —Madrid, Madrid provincia
- Jornada completa
- Java
- Machine learning
- Desarrollo de software
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
AI Principal Engineer
NielsenIQ —Madrid, Madrid provincia
- De 55.300 € a 78.800 € al año
- Jornada completa
- Trabajo híbrido
- CRM software
- Azure
- Sistemas ERP
Solicitud rápida
Senior AI/ML Engineer - BCN/MAD
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Oficina
- Máster
Solicitud rápida
Data Scientist / AI Engineer
Logicalis Spain —Madrid, Madrid provincia
- Incorporación inmediata
- Teletrabajo
- Azure
- Informática
- Machine learning
- Oportunidades de crecimiento y desarrollo profesional
AI Architect (Agentic AI)
Kyndryl —Madrid, Madrid provincia
- Jornada completa
- Azure
- Doctorado
- Máster
Modelling and Simulation Engineer
Minsait —Madrid, Madrid provincia
- Trabajo híbrido
- Inglés
- Java
- Machine learning
Marketing Manager - EdTech (French fluent )
Paradox —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Inglés
- Marketing
Forward Deployed AI Engineer
Keyrus Spain —Alcobendas, Madrid provincia
- De 70.000 € a 85.000 € al año
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Inglés
Solicitud rápida
Data Scientist
Kapsch TrafficCom AG —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Informática
- Inglés
- SQL
Senior/Lead AI Engineer – Agents Team - BCN/MAD/MUN
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- Máster
- Machine learning
Solicitud rápida
10d
Senior Data Engineer - ODS
Santander Bank —Madrid, Madrid provincia
- Español
- DevOps
- Inglés
GenAI Engineer
Minsait —Madrid, Madrid provincia
- DevOps
- SQL
- Machine learning
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
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
Applied Scientist on Artificial Intelligence and Optimization, EU LTP Science (OCTPS)
Amazon EU SARL (Spain Branch) —Madrid, Madrid provincia
- Jornada completa
- Doctorado
- Java
- Máster
10d
Cloud Engineer
Devoteam Spain —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Inglés
- AWS
- Machine learning
Solicitud rápida
Senior FPGA Engineer — Wireless Networking Group (WNG)
IMDEA Networks Institute —Madrid, Madrid provincia
- Español
- Doctorado
- Informática
5d
AI/ML Engineer - Network Management
Capgemini —Madrid, Madrid provincia
- Informática
- Inglés
- Machine learning
- Formación continua
- Seguro médico privado
R&D Engineer
Ormco —Madrid, Madrid provincia
- Doctorado
- Informática
- Inglés
- Seguro dental
- Vacaciones pagadas
GCP Data Engineer
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Java
- SQL
- Machine learning

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DevOps Engineer (AWS/IA) - Remote

UST -
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Hace 9 días

Beneficios

Abono gimnasio
Plan de retribución flexible

Cualificaciones

CI/CD
DevOps
Inglés
AWS
Docker
Machine learning
Terraform
Escalabilidad
Agile
Cloud
S3
Inteligencia artificial
Habilidades de comunicación
Gestión de identidades y accesos

Descripción completa del empleo

Role description

We are still looking for the very Top Talent…and we would be delighted if you were to join our team!

More in detail, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work, with more than 35,000 employees worldwide and presence in over 35 countries. We are leaders in digital technology services, delivering large-scale technological solutions for some of the world's leading organizations.

What we look for?

We are looking for a Senior DevOps Engineer AWS + AI to join our team.

This role is focused on the design, automation, deployment, and operation of cloud infrastructures on AWS, with a strong emphasis on DevOps, DevSecOps, Infrastructure as Code, and Artificial Intelligence platforms within enterprise environments.

Key Responsibilities:

Design, implement, and maintain CI/CD pipelines to automate integration, validation, and continuous deployment processes.
Manage and evolve AWS services including EKS, ECS, EC2, Lambda, IAM, VPC, Route 53, S3, RDS, CloudWatch, and networking components.
Design, deploy, and operate cloud infrastructure using Infrastructure as Code (IaC) with Terraform.
Apply security standards and DevSecOps best practices throughout the entire cloud platform lifecycle.
Deploy, integrate, and operate AI-based solutions and components on AWS, ensuring scalability, availability, performance, and security.
Support AI and Machine Learning services such as Amazon Bedrock, SageMaker, Amazon Q, and container-based inference platforms on ECS/EKS.
Automate operational processes, environment provisioning, and deployments to improve efficiency and platform reliability.
Collaborate closely with Development, Architecture, Data, and AI teams in Agile environments to deliver secure and efficient cloud solutions.
Monitor, troubleshoot, and optimize cloud workloads and infrastructure performance.

Mandatory Requirements:

Proven experience as a Senior DevOps Engineer working with AWS cloud environments.
Strong knowledge of AWS services including EKS, ECS, EC2, Lambda, IAM, VPC, Route 53, S3, RDS, and CloudWatch.
Hands-on experience with Terraform and Infrastructure as Code (IaC) methodologies.
Experience designing and maintaining CI/CD pipelines using industry-standard DevOps tools.
Strong understanding of DevSecOps principles, cloud security, identity and access management, and governance practices.
Experience deploying and operating AI/ML platforms and services in AWS environments.
Knowledge of containerization technologies such as Docker and Kubernetes.
Ability to work collaboratively within Agile teams.
High level of English communication skills.

Nice to Have:

Experience with Amazon Bedrock, SageMaker, Amazon Q, or similar Generative AI platforms.
Knowledge of AI Governance frameworks and responsible AI practices.
AWS certifications (Solutions Architect, DevOps Engineer Professional, Security Specialty, Machine Learning Specialty, etc.).
Experience with observability and monitoring solutions.
Familiarity with GitOps methodologies and platform engineering concepts.
Experience working in large-scale enterprise environments.

What can we offer?

23 days of Annual Leave plus the 24th and 31st of December as discretionary days!
Numerous benefits (Health Care Plan, Internet Connectivity, Life and Accident Insurances).
Retribución Flexible Program (Meals, Kindergarten, Transport, Online English Lessons, Health Care Plan, and more).
Free access to several training platforms.
Professional stability and career plans.
UST also compensates referrals, from which you could benefit when referring professionals.
The option to choose between 12 or 14 salary payments throughout the year.
Real Work-Life Balance measures (flexibility, WFH or remote work policy, compacted hours during summertime, etc.).
UST Club Platform discounts and gym access discounts.

If you would like to know more, do not hesitate to apply and we'll get in touch to provide further details. UST is waiting for you!

At UST, we are committed to equal opportunities in our selection processes and do not discriminate based on race, gender, disability, age, religion, sexual orientation, or nationality. We have a special commitment to Disability & Inclusion and welcome applications from candidates with a disability certificate.

Skills

AI Governance, AWS, AWS IAM, AWS Lambda, Amazon CloudWatch, Amazon Bedrock, Amazon Route 53, Amazon RDS, Amazon EKS, Amazon ECS, Amazon EC2

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

Solicitud rápida

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