AI-Driven Backend Engineer (MLOps, Gen AI)

KION Business Services Polska; Barcelona; Híbrido; EUR 70.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Private health insurance

Food allowance

Hybrid work model

Flexible working hours

Training opportunities

International projects

Diversity & social responsibility

Descripción de la vacante

Linde Material Handling, a world-leading provider of forklifts and intralogistics solutions, seeks an AI/ML engineer to design, build and deploy AI solutions for internal and external customers. You will work on end-to-end ML models, MLOps, and innovative AI deployments in a global, collaborative setting.

The role emphasizes end-to-end AI development, cloud platforms (Azure/GCP), and scaling production-grade AI in an international environment.

Formación

• Completed studies in computer science, mathematics, physics or 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.
• Ability to build data and MLOps pipelines and experience with MLOps frameworks (e.g., MLflow) and with Kubernetes.
• Experience with 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 using an agent framework (e.g. ADK).
• Excellent Python programming skills and familiarity with scikit-learn, PyTorch, TensorFlow.
• Strong conceptual and analytical skills; good communication and initiative; fluent in English.

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

Cloud AI apps

MLOps pipelines

Kubernetes

RAG architectures

Langfuse monitoring

Python

PyTorch

TensorFlow

Communication

Initiative

English fluency

Educación

Computer science / math / physics degree

Herramientas

MLflow

Langfuse

ADK

Descripción del empleo

Linde Material Handling, a world-leading provider of forklifts and intralogistics solutions, seeks an AI/ML engineer to design, build and deploy AI solutions for internal and external customers. You will work on end-to-end ML models, MLOps, and innovative AI deployments in a global, collaborative setting.

The role emphasizes end-to-end AI development, cloud platforms (Azure/GCP), and scaling production-grade AI in an international environment.