Senior ML Engineer | Germany (3 Month project)
Core
Building production-grade ML infrastructure, GPU workloads, and LLM pipelines for a German customer.
Role type
Senior MLOps Engineer (Cloud-native)
Builds
Production ML pipelines, GPU-managed model training, and LLM fine-tuning systems
Domain
Cloud-native ML infrastructure / Enterprise data processing
Deliverable
production ML models
Required skills
Kubeflow Pipelines (KFP v2), GPU training, LLM/transformer fine-tuning, MLflow, XGBoost, CatBoost, Python engineering, SQL, CI/CD
Preferred skills
LLM pre-training, Kubernetes GPU orchestration, zero-trust environment experience, DuckDB, modern Python tooling (uv)
Technologies
Kubeflow Pipelines, Kubernetes, MLflow, XGBoost, CatBoost, SQL Server, DuckDB, GitLab CI, Python
Responsibilities
Build and orchestrate ML pipelines, train models on GPUs, fine-tune transformers and LLMs, track experiments, develop Python-based pipelines and tooling, maintain engineering standards via testing and CI/CD
Seniority
Senior, hands-on IC
