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.