Develop, train, and validate machine learning and statistical models for product, service, and process optimization
Job Summary
Develop, train, and validate machine learning and statistical models for product, service, and process optimization.
Deploy and monitor ML models in production environments on Azure Databricks and work with large datasets in a Lakehouse environment.
Liebherr offers a secure workplace, diverse tasks, and exciting development opportunities with benefits like fair compensation, flexible working hours, and health programs.
Matching Summary
Develop, train, and validate machine learning and statistical models for product, service, and process optimization.
Skills & Requirements
Must-have
Machine learning model development
Azure Databricks
Python-based data science
Lakehouse environments
ETL processes
Nice-to-have
LLMs and generative AI
RAG architectures
Data science best practices
Key Requirements
Degree in Computer Science, Data Science, Statistics or comparable
Several years of practical experience in Python-based data science
Proven project results
Experience with Azure Databricks or comparable Lakehouse platforms
Understanding of modern Lakehouse architectures
Experience in deployment and monitoring of ML models