About this role
We are looking for an experienced We are looking for an experienced ML Engineer / MLOps Engineer to join a cloud-native project for a German customer. The role is strongly engineering-focused and involves building production-grade ML infrastructure, working with GPU workloads, ML pipelines, LLMs and large-scale data processing. 📍 Location: Germany 🗣 German: B2+ - must-have 🗣 English: B1+ 📅 Estimated start: September 30, 2026 What you'll be working on Build and orchestrate ML pipelines using Kubeflow Pipelines (KFP v2) Train ML models on GPUs and manage GPU resources within Kubernetes Fine-tune transformers and LLMs Track experiments and models using MLflow Build classical ML models with XGBoost and CatBoost Process large datasets using SQL Server and DuckDB Develop Python-based pipelines, integrations and tooling Maintain high engineering standards through testing, clean code and CI/CD with GitLab CI Work in a secure, zero-trust / secure-by-default environment with network policies ...