# Senior ML Engineer | Germany (3 Month project)

> Intetics · Germany (Remote) · Temporary · Posted 2026-09-11

**Workplace:** remote

**Department:** AI

## Description

We are looking for an experienced We are looking for an experienced **ML Engineer / MLOps Engineer** to join a cloud-native project for a German customer.

The role is strongly engineering-focused and involves building production-grade ML infrastructure, working with GPU workloads, ML pipelines, LLMs and large-scale data processing.

📍 **Location:** Germany  
🗣 **German:** B2+ - must-have  
🗣 **English:** B1+  
📅 **Estimated start:** September 30, 2026

### What you'll be working on

-   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 high 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

### What we're looking for

-   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

### Nice to have

-   Experience with LLM pre-training, beyond fine-tuning
-   GPU orchestration in Kubernetes
-   Experience with zero-trust environments, network policies and restrictive container rights
-   Knowledge of DuckDB
-   Experience with modern Python tooling such as uv

Previous healthcare or billing domain experience is not required, but you should be comfortable quickly getting up to speed with a new domain.

## Apply

[Apply at Intetics](https://apply.workable.com/intetics-2/j/84233CFFF3/apply)

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