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.
No deje pasar esta posibilidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción.
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.
Your role:
- Design, build and deploy digital solutions in the area of data analytics, machine learning and Generative AI to derive added value from large volumes of data for our internal and external customers
- Prepare, clean and model structured and unstructured data and apply statistical methods and machine learning algorithms
- Apply machine learning and generative AI models for end-to-end solution building
- Leverage generative AI methods like RAG and agentic AI to scale existing pilots and develop new features and products
- Collaborate closely in interdisciplinary teams with data analysts, 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
- Experience in design, implementation and maintenance of data-intensive applications
- Knowledge and experience in several of the following areas:
- Hands-on application of methods of data analysis and artificial intelligence (statistics, machine learning, deep learning, generative AI)
- Hands-on experience in designing, developing and deploying RAG
- Proven ability to develop and deploy Agentic AI frameworks to automate complex workflows and enable autonomous decision-making
- Excellent Python programming skills and familiarity with relevant libraries (e. g. Pandas, scikit-learn, Langchain, TensorFlow, PyTorch)
- Visualization of complex interrelationships with Power BI and Python (esp. xugodme Matplotlib, Seaborn, Streamlit)
- Data modeling and data management, databases and database queries (e. g. SQL and NoSQL)
- Distributed systems and common Big Data technologies
- Use of cloud-based platforms, ideally Azure and GCP
- Strong conceptual and analytical skills
- Excellent communication and consulting skills
- High degree of initiative and solution orientation
- Fluent in English
What we offer:
Attractive remuneration based on your experience, skills and development.