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Senior ML Engineer | Germany (3 Month project)

Intetics 2

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157 open germany roles across 66 companies are on ApplySarthi right now, most of them in Mumbai (1), Chennai (1).

What germany roles keep asking for: AWS (29%), SaaS (20%), Azure (17%), Salesforce (17%), B2B (14%), GCP (14%), Customer success (13%) — counted across their open postings here.

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Interviews for germany roles keep coming back to AWS, SaaS, Azure, Salesforce. Practise those questions before you sit with Intetics 2.

Questions you are likely to be asked

  1. Why do you want to join Intetics 2?
  2. What is your experience with LLMs? Tell me one thing you learned the hard way.
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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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. Find more English Speaking Jobs in Germany on Arbeitnow

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Listed on arbeitnow · posted 2026-09-12. ApplySarthi collects openings and links to application pages; the role is advertised by Intetics 2, not by us.