Описание: Linde Material Handling manufactures forklifts, warehouse trucks, and high-performance solutions for intralogistics. Since 2006, it has been part of the KION Group and operates as a integral company in an international environment.
Задачи:

Design, build, and deploy innovative solutions in data analytics, machine learning, and generative AI for internal and external customers.
Apply machine learning and generative AI models to build end-to-end solutions.
Build MLOps on Azure and GCP and create CI/CD pipelines.
Review AI models, refactor code, containerize applications, and manage deployment, versioning, and monitoring.
Validate AI models and implement test automation and integration.
Collaborate with data scientists, data engineers, business units, UX designers, and IT departments.
Требования:

Completed studies in computer science, mathematics, physics, or a comparable field
3+ Years of professional experience
Ability to design, implement, and maintain cloud-based AI applications on Azure and GCP, including performance and cost monitoring and optimization




Strong experience developing end-to-end AI/ML solutions
Ability to build data and MLOps pipelines
Experience with MLOps frameworks such as MLflow and with Kubernetes
Experience with Retrieval Augmented Generation (RAG) architectures and production monitoring using LLM Observability platforms such as Langfuse
Ability to develop and deploy agentic AI solutions for complex workflow automation and autonomous decision-making using an agent framework such as ADK
Excellent Python programming skills and familiarity with scikit-learn, PyTorch, TensorFlow, and related frameworks and libraries
Strong conceptual and analytical skills
Good communication skills
High degree of initiative and solution orientation
Fluent in English.
Условия:

Attractive remuneration based on experience, skills, and development
Extensive training in the area of responsibility
Opportunity to participate in international projects and influenc

📌 backend developer in manufacturing (Madrid)
🏢 Enfint
📍 Madrid