Intetics
Senior ML Engineer | Germany (3 Month project)
About this role
Description: Seeking an experienced ML Engineer / MLOps Engineer for a cloud-native project in Germany. Role focuses on building production-grade ML infrastructure, handling GPU workloads, ML pipelines, LLMs, and large-scale data processing. Requirements: Hands-on experience with Kubeflow Pipelines (KFP v2). Experience training models on GPUs and fine-tuning LLMs. Proficient in MLflow, XGBoost, CatBoost, and Python. Solid SQL skills and understanding of large-scale data processing. Experience with CI/CD, clean code, and automated testing. Production-grade ML/MLOps experience in enterprise or regulated environments. German language proficiency (B2+) and English (B1+). Benefits: Opportunity to work on cutting-edge ML technologies in a secure environment. Engage in a dynamic project with a focus on high engineering standards.