Senior ML Engineer | Germany (3 Month project) — Opportunihub
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Senior ML Engineer | Germany (3 Month project)

Intetics 2 · Germany

At a glance

Type
Job
Organisation
Intetics 2
Location
Germany
Work mode
Remote
Deadline
Rolling / not stated
Posted
12 Sep 2026

About this job

<p>We are looking for an experienced We are looking for an experienced <strong>ML Engineer / MLOps Engineer</strong> to join a cloud-native project for a German customer.</p><p>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.</p><p>📍 <strong>Location:</strong> Germany<br>🗣 <strong>German:</strong> B2+ - must-have<br>🗣 <strong>English:</strong> B1+<br>📅 <strong>Estimated start:</strong> September 30, 2026</p><h3>What you'll be working on</h3><ul><li>Build and orchestrate ML pipelines using Kubeflow Pipelines (KFP v2)</li><li>Train ML models on GPUs and manage GPU resources within Kubernetes</li><li>Fine-tune transformers and LLMs</li><li>Track experiments and models using MLflow</li><li>Build classical ML models with XGBoost and CatBoost</li><li>Process large datasets using SQL Server and DuckDB</li><li>Develop Python-based pipelines, integrations and tooling</li><li>Maintain high engineering standards through testing, clean code and CI/CD with GitLab CI</li><li>Work in a secure, zero-trust / secure-by-default environment with network policies and restrictive container permissions</li></ul><p><strong>Requirements</strong></p><h3>What we're looking for</h3><ul><li>Hands-on experience with Kubeflow Pipelines, ideally KFP v2</li><li>Experience training models on GPUs</li><li>Practical experience with LLM / transformer fine-tuning</li><li>Experience with MLflow</li><li>Strong knowledge of XGBoost, CatBoost or similar boosting models</li><li>Strong Python engineering skills</li><li>Solid SQL experience and understanding of large-scale data processing</li><li>Experience with CI/CD, clean code and automated testing</li><li>Production-grade ML/MLOps experience beyond notebook-based experimentation</li><li>Experience working in enterprise or regulated cloud-native environments</li></ul><h3>Nice to have</h3><ul><li>Experience with LLM pre-training, beyond fine-tuning</li><li>GPU orchestration in Kubernetes</li><li>Experience with zero-trust environments, network policies and restrictive container rights</li><li>Knowledge of DuckDB</li><li>Experience with modern Python tooling such as uv</li></ul><p>Previous healthcare or billing domain experience is not required, but you should be comfortable quickly getting up to speed with a new domain.</p><p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>

How to apply

  1. 1 Read the full details above and confirm you meet the eligibility criteria.
  2. 2 Prepare your documents — an updated CV, and any cover letter, proposal or certificates required.
  3. 3 Click Apply on official site to complete your application on Intetics 2’s official page.
  4. 4 Submit as early as possible — many close once filled.
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Frequently asked questions

How do I apply for Senior ML Engineer | Germany (3 Month project)?

Review the full details and eligibility on this page, prepare your documents, then use the “Apply on official site” button to complete your application on Intetics 2’s official page.

Is this opportunity remote or location-based?

This opportunity is remote-friendly and open to applicants who can work from anywhere.

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