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 onBuild and orchestrate ML pipelines using Kubeflow Pipelines (KFP v2)Train ML models on GPUs and manage GPU resources within KubernetesFine-tune transformers and LLMsTrack experiments and models using MLflowBuild classical ML models with XGBoost and CatBoostProcess large datasets using SQL Server and DuckDBDevelop Python-based pipelines, integrations and toolingMaintain high engineering standards through testing, clean code and CI/CD with GitLab CIWork in a secure, zero-trust / secure-by-default environment with network policies and restrictive container permissions

Requirements

What We're Looking For

Hands-on experience with Kubeflow Pipelines, ideally KFP v2Experience training models on GPUsPractical experience with LLM / transformer fine-tuningExperience with MLflowStrong knowledge of XGBoost, CatBoost or similar boosting modelsStrong Python engineering skillsSolid SQL experience and understanding of large-scale data processingExperience with CI/CD, clean code and automated testingProduction-grade ML/MLOps experience beyond notebook-based experimentationExperience working in enterprise or regulated cloud-native environmentsNice to haveExperience with LLM pre-training, beyond fine-tuningGPU orchestration in KubernetesExperience with zero-trust environments, network policies and restrictive container rightsKnowledge of DuckDBExperience with modern Python tooling such as uvPrevious 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 on Arbeitnow