Machine Learning Engineer

Listed as a remote role based in Germany. We're looking for an experienced Senior ML/MLOps Engineer to join an exciting project with our client in Germany. About the Role Location: Germany (Candidates must be based in Germany) Duration: 3 Months (Contract/Freelance) Pay rate- 20-30$ /hr Time Zone- CET Zone Responsibilities Key Skills Kubeflow Pipelines (KFP v2) MLOps & ML Infrastructure GPU Model Training LLM / Transformer Fine-Tuning MLflow XGBoost & CatBoost Python & SQL DuckDB Kubernetes GitLab CI/CD Testing & Automation Production-grade Machine Learning Systems Qualifications Strong experience building and managing production-grade ML infrastructure. Expertise in cloud-native MLOps and Kubernetes-based deployments. Hands-on experience with LLMs, Transformer fine-tuning, and GPU-based model training. Experience working in enterprise or regulated environments. Strong Python programming and ML pipeline development skills. English proficiency: B1+ or higher. Required Skills Kubeflow Pipelines (KFP v2) MLOps & ML Infrastructure GPU Model Training LLM / Transformer Fine-Tuning MLflow XGBoost & CatBoost Python & SQL DuckDB Kubernetes GitLab CI/CD Testing & Automation Production-grade Machine Learning Systems Preferred Skills Experience working in enterprise or regulated environments. Show more Show less Seniority level Mid-Senior level Employment type Temporary Job function Engineering Industries IT Services and IT Consulting and Software Development