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# Backend Developer

- **Company:** Kion Group
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Continuous Integration, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Model Validation, Generative AI, Backend, Build Management, Containerization, Scikit Learn, Kubernetes, Information Technology, Data Analytics, Machine Learning Operations, Virtual Agents
- **Published:** August 9, 2026
- **Apply:** https://www.buscojobs.com.es/backend-developer-en-barcelona-ID-366252653

## About the Role

This position offers exposure to international projects and a meaningful impact on IT development at a leading intralogistics company.Compensaciones / Beneficios - Design and deploy AI-driven data analytics and generative AI solutions - Develop end-to-end ML models and productize them for production - Build data and MLOps pipelines on cloud platforms (Azure and GCP) - Implement CI/CD, containerization, deployment, and monitoring of AI models - Validate models, automate tests, and integrate AI components into workflows - Collaborate with data scientists, data engineers, business units, UX designers and ITResponsabilidades - 3+ years of professional experience in AI/ML - Completed studies in computer science, mathematics, physics or comparable education - Experience designing and maintaining AI-driven applications on cloud (Azure and GCP) - Strong experience with end-to-end AI/ML solutions and production readiness - Data and MLOps pipelines experience; familiarity with MLflowand
Kubernetes - Experience with Retrieval Augmented Generation (RAG) architectures and production monitoring (Langfuse) - Ability to develop and deploy agentic AI solutions using an agent framework (e.G., ADK) - Expert Python programming; familiarity with scikit-learn, PyTorch, TensorFlow - Excellent analytical and communication skills; high initiative; English fluencyRequisitos principales - Remuneration based on experience - Extensive trainings - International projects - Barcelona location - Hybrid work model - Flexible working hours

## Description

Experteer Overview In this role you design, build and deploy AI-driven data analytics and generative AI solutions to solve real-world problems for internal and external customers.You will implement end-to-end ML solutions on cloud platforms and establish MLOps pipelines to ensure scalable, maintainable deployments.You work closely with cross-functional teams to drive AI-enabled business outcomes in a global, innovative environment.This position offers exposure to international projects and a meaningful impact on IT development at a leading intralogistics company.Compensaciones / Beneficios - Design and deploy AI-driven data analytics and generative AI solutions - Develop end-to-end ML models and productize them for production - Build data and MLOps pipelines on cloud platforms (Azure and GCP) - Implement CI/CD, containerization, deployment, and monitoring of AI models - Validate models, automate tests, and integrate AI components into workflows - Collaborate with data scientists, data engineers, business units, UX designers and ITResponsabilidades - 3+ years of professional experience in AI/ML - Completed studies in computer science, mathematics, physics or comparable education - Experience designing and maintaining AI-driven applications on cloud (Azure and GCP) - Strong experience with end-to-end AI/ML solutions and production readiness - Data and MLOps pipelines experience; familiarity with MLflowand Kubernetes - Experience with Retrieval Augmented Generation (RAG) architectures and production monitoring (Langfuse) - Ability to develop and deploy agentic AI solutions using an agent framework (e.G., ADK) - Expert Python programming; familiarity with scikit-learn, PyTorch, TensorFlow - Excellent analytical and communication skills; high initiative; English fluencyRequisitos principales - Remuneration based on experience - Extensive trainings - International projects - Barcelona location - Hybrid work model - Flexible working hours


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