Senior ML Engineer | Germany (3 Month project)

Responsibilities

We are representing a confidential technology organization in Germany for a 3-month contract engagement starting late September 2026. This is a hands-on ML engineering role focused on production infrastructure and cloud-native systems.

You will:

• Build and orchestrate ML pipelines using Kubeflow Pipelines (KFP v2)
• Train ML models on GPU infrastructure and manage GPU resource allocation within Kubernetes environments
• Fine-tune transformer models and large language models for production use cases
• Track experiments and model versions using MLflow
• Develop classical ML models with XGBoost and CatBoost
• Process large-scale datasets using SQL Server and DuckDB
• Build Python-based pipelines, integrations, and tooling with production-grade engineering standards
• Implement CI/CD workflows using GitLab CI, including automated testing and clean code practices
• Work within a secure, zero-trust environment with network policies and restrictive container permissions

What We're Looking For

Must-have skills:

• Hands-on experience with Kubeflow Pipelines, ideally KFP v2
• Proven experience training models on GPU infrastructure
• Practical experience fine-tuning LLMs and transformer models
• Experience with MLflow for experiment tracking and model management
• Strong knowledge of XGBoost, CatBoost, or similar gradient boosting frameworks
• Strong Python engineering skills with a focus on production-quality code
• Solid SQL experience and understanding of large-scale data processing
• Experience with CI/CD pipelines, automated testing, and clean code practices
• Production-grade ML/MLOps experience beyond notebook-based experimentation
• Experience working in enterprise or regulated cloud-native environments
• German language proficiency: B2+ required
• English language proficiency: B1+ required

Nice to have:

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

Domain expertise in healthcare or billing is not required—you should be comfortable quickly learning new business domains.

How We Work with You

Candidates apply directly through Get A Job.ai. Our talent team will screen your profile and conduct an initial interview. If there's a strong match, we will submit your profile to our client for consideration. Please do not contact the client directly—all communication and coordination will be handled by our recruiting team to ensure a smooth and professional process.

Pay

Pay details will be discussed during the screening process and are dependent on experience level and specific client budget for this contract role.

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from all qualified candidates regardless of background.