Backend Developer

Linde Material Handling; Barcelona; Híbrido; EUR 50.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Attractive remuneration

Private health insurance

Food allowance

Flexible working hours

Training opportunities

Support for employees with children with disabilities

Descripción de la vacante

Linde Material Handling is hiring for a role focused on AI and machine learning solutions in Barcelona. Candidates will design, build, and implement innovative AI applications, working with cloud technologies and data analytics.

The position requires 3+ years of experience in AI, proficiency in Python, and skills in MLOps frameworks. The job offers a hybrid work model with attractive remuneration, flexible hours, and private health insurance.

Formación

• 3+ years of professional experience in AI/ML solutions.
• Strong experience with building data and MLOps pipelines.
• Fluent in English.

Responsabilidades

• Design and deploy innovative solutions in AI and data analytics.
• Build MLOps on cloud (Azure and GCP) and CI/CD pipelines.
• Collaborate with interdisciplinary teams to develop AI-driven applications.

Conocimientos

AI/ML end-to-end solutions

Cloud technologies (Azure, GCP)

MLOps frameworks (e.g., MLflow)

Python programming

Kubernetes

Good communication skills

Educación

Degree in computer science, mathematics, or physics

Herramientas

scikit-learn

Pytorch

Tensorflow

Descripción del empleo

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

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.

Ofrecemos

What we offer:

• Attractive remuneration based on experience, skills and development.
• Extensive trainings in your area of responsibility.
• The opportunity to participate in 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.

Responsabilidades y Requisitos

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 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.
• 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.