- 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 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
Requirements
- 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 environments
- German proficiency at B2+ level
- English proficiency at B1+ level
Core Competencies
Demonstrates expertise in building and orchestrating ML pipelines using Kubeflow, training models on GPUs, and fine-tuning transformers and LLMs. Proficient in Python engineering, SQL data processing, and maintaining engineering standards through CI/CD practices.
Highest-signal resume keywords
- Kubeflow Pipelines
- GPU Model Training
- Transformer Fine-Tuning
- MLflow
- Python Engineering
Hard Skills
- XGBoost
- CatBoost
- SQL
- CI/CD
- Automated Testing
- Data Processing
- ML/MLOps
- Clean Code
- Large Datasets
- Kubernetes
Industry Keywords
- Zero-Trust Environment
- Cloud-Native
- Enterprise Environments
- Regulated Environments
Tools & Technologies
- GitLab CI
- DuckDB
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Senior ML Engineer – 3 Month Project Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
