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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.
Job title
Job type
Experience level
Required experience
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Salary
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Degree requirement
No degree requiredSkills
Location requirements
Germany
Benefits
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