Senior ML Engineer | Germany (3 Month project)

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, 2026What 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 and restrictive container permissions RequirementsWhat we're looking for • Hands-on experience with Kubeflow Pipelines, ideally KFP v2 • Experience training models on GPUs • Practical experience with LLM / transformer fine-tuning • Experience with MLflow • Strong knowledge of XGBoost, CatBoost or similar boosting models • Strong Python engineering skills • Solid SQL experience and understanding of large-scale data processing • Experience with CI/CD, clean code and automated testing • Production-grade ML/MLOps experience beyond notebook-based experimentation • Experience working in enterprise or regulated cloud-native environmentsNice to have • Experience with LLM pre-training, beyond fine-tuning • GPU orchestration in Kubernetes • Experience with zero-trust environments, network policies and restrictive container rights • Knowledge of DuckDB • Experience with modern Python tooling such as uv Previous healthcare or billing domain experience is not required, but you should be comfortable quickly getting up to speed with a new domain. Find Jobs in Germany (https://www.arbeitnow.com) on Arbeitnow