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Quiero recibir la alerta de empleo más reciente de data platform engineer (mlops)

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AI Engineer

Linde Material Handling Ibérica, S.A.U.
Barcelona, Barcelona provincia

Solicitar ahora

Detalles del empleo

Jornada completa

Cualificaciones

TensorFlow
CI/CD
Azure
Derecho
Informática
Inglés
Máster
Habilidades de análisis
Machine learning
UX
Cloud
Inteligencia artificial
Habilidades de comunicación
Python

Descripción completa del empleo

Linde Material Handling is among the world leaders in the manufacturing of forklifts, warehouse trucks, and high-performance solutions for intralogistics. Since 2006, Linde has been part of the KION Group.

Our values are:
INTEGRITY – we do what is right
COLLABORATION – we trust each other
COURAGE – we drive change and innovation
EXCELLENCE – we deliver exceptional value to our customers You will work for a successful global company in an international environment.
Are you ready for a new challenge? Then you might be the one we are looking for!

➡️ About the company:
We are a socially responsible company that offers equal employment opportunities, promotes diversity, and respects differences within our organization. We do not tolerate any form of discrimination, harassment, or aggression—whether verbal or physical, direct or indirect—against individuals or material objects.

We offer:

✨ What we offer:

Attractive remuneration based on your experience, skills and development.

Extensive trainings in your area of responsibility

The opportunity to participate in the international projects and a significant influence on company IT development

Barcelona (Zona Franca)

Hybryd Work Model

Flexible Working Hours

Private health insurance

Food Allowance

Committed to Diversity and Society: Support for employees with children with disabilities.

Tasks and Qualifications:

Your role:

Design, build and deploy innovative solutions in the area of data analytics, machine learning and generative AI to solve complex real-world problems for our internal and external customers
Apply machine learning and generative AI models for end-to-end solution building
Build MLOps on cloud (Azure and GCP) and build CI/CD pipelines
AI model review, code refactoring, containerization, deployment, versioning and monitoring
AI model validation, test automation and integration
Collaborate closely in interdisciplinary teams with data scientists, data engineers, business units, UX designers and IT departments

Your profile:

Completed studies in computer science, mathematics, physics or a comparable education
3+ years of professional experience

Ability to design, implement and maintain AI-driven applications on cloud (Azure and GCP), including performance and cost monitoring and optimization

Strong experience with AI/ML end-to-end solutions developing
Ability to build data and MLOps pipelines and experience with MLOps frameworks (e.g., MLflow) and with Kubernetes
Experience with leveraging Retrieval Augmented Generation (RAG) architectures and monitoring them in production using LLM Observability platforms (e.g., Langfuse)
Ability to develop and deploy agentic AI solutions to automate complex workflows and enable autonomous decision-making using an agent framework, e. g. ADK
Excellent Python programming skills and familiarity with relevant frameworks and libraries like scikit-learn, Pytorch, Tensorflow etc.

Strong conceptual and analytical skills
Good communication skills
High degree of initiative and solution orientation
Fluent in English

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