Backend Developer

KION Group; Barcelona; Híbrido; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Food allowance

Hybrid work model

Flexible working hours

International projects

Descripción de la vacante

Linde Material Handling in Barcelona is seeking a highly skilled AI/ML engineer to design, build, and deploy innovative data analytics solutions for internal and external customers. You will apply ML and generative AI models to end-to-end solutions and build MLOps on cloud platforms.

The role collaborates with data scientists, engineers, and IT to optimize AI deployments, monitor performance, and drive cost efficiency.

Formación

• 3+ years of professional experience in AI/ML/ analytics
• Completed studies in computer science, mathematics, physics or a comparable education
• Fluent in English and good communication skills
• Ability to design, implement and maintain AI-driven applications on cloud (Azure and GCP)

Responsabilidades

• Design, build and deploy innovative data analytics solutions for 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 establish CI/CD pipelines
• AI model review, refactoring, containerization, deployment, versioning and monitoring
• AI model validation, testing, and integration
• Collaborate with data scientists, data engineers, business units, UX and IT teams

Conocimientos

Python

AI/ML end-to-end

Kubernetes

MLOps

Langfuse

Educación

Computer science / mathematics / physics degree

Herramientas

MLflow

Azure

GCP

Kubernetes

Descripción 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