AI Engineer

Still Sverige Ab; Barcelona; Hybrid; EUR 65,000 - 95,000; Full time

Benefits offered by this job

Hybrid work model

Flexible working hours

Private health insurance

Meal allowance

Barcelona office in Zona Franca

Training programs

Job summary

Linde Material Handling seeks a qualified AI/ML engineer to design, implement and deploy data analytics and generative AI solutions for intralogistics. You will work across data science, data engineering and IT to deliver scalable ML applications in the cloud.

Ideal candidates have 3+ years of experience in AI/ML, strong Python and cloud skills (Azure/GCP), and familiarity with MLOps, Kubernetes and RAG approaches. Hybrid work in Barcelona is offered.

Qualifications

• Completed studies in computer science, mathematics, physics or a comparable education.
• 3+ years of professional experience in AI/ML
• Ability to design, implement and maintain AI-driven applications on cloud (Azure and GCP) with cost monitoring and optimization
• Experience with MLOps frameworks and Kubernetes
• Experience with Retrieval Augmented Generation (RAG) architectures and production observability

Responsibilities

• Design, build and deploy innovative data analytics, ML and generative AI solutions 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, containerization, deployment, versioning and monitoring
• AI model validation, test automation and integration
• Collaborate with data scientists, data engineers, business units and IT teams

Skills

Python programming

AI/ML end-to-end development

Kubernetes

Langfuse

RAG architectures

Azure/GCP cloud

CI/CD pipelines

Communication skills

English (fluent)

Education

Bachelor's degree in CS/Math/Physics or equivalent

Tools

MLflow

scikit-learn

PyTorch

TensorFlow

Job description

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

Our values are:

• INTEGRITY - we do what is right
• COLLABORATION - we trust each other
• COURAGE - we drive change and innovation
• EXCELLENCE - we deliver exceptional value to our customers

You will work for a successful global company in an international environment. Are you ready for a new challenge? Then you might be the one we are looking for!

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.

What we offer

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

Tasks and Qualifications

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 our 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 developing
• 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