AI Engineer

Joinimagine; Barcelona; Híbrido; EUR 60.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Flexible working hours

Private health insurance

Food allowance

Diversity and inclusion support

Descripción de la vacante

Linde Material Handling seeks an experienced AI/ML Engineer to design, build and deploy data analytics and generative AI solutions for global intralogistics projects in Barcelona. You will implement end-to-end AI systems across cloud environments and collaborate with cross-functional teams.

The role requires 3+ years in AI/ML, strong Python, Kubernetes, and MLOps expertise, plus English proficiency. Hybrid work and private health insurance are offered.

Formación

• 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).
• Strong experience with AI/ML end-to-end solutions developing.

Responsabilidades

• Design, build and deploy innovative solutions in data analytics, machine learning and generative AI for internal and external customers.
• Apply ML and generative AI models for end-to-end solution building.
• Build MLOps on cloud (Azure and GCP) and CI/CD pipelines.
• AI model review, code refactoring, containerization, deployment, versioning and monitoring.
• AI model validation, test automation and integration.
• Collaborate with data scientists, data engineers, business units, UX designers and IT.

Conocimientos

AI/ML end-to-end

Python programming

Kubernetes

MLOps

Cloud: Azure & GCP

Langfuse

Pytorch

TensorFlow

Educación

Computer science, mathematics, physics or equivalent

Herramientas

Azure

GCP

Kubernetes

MLflow

Langfuse

scikit-learn

PyTorch

TensorFlow

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 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