ML/MLOps Engineer in Germany

Andersen is hiring an ML/MLOps Engineer in Germany for a project building a cloud-native AI platform and delivering scalable machine learning solutions for the healthcare industry.

The customer is a European service provider operating in the healthcare sector, delivering consulting, digital solutions, data-driven services, and operational support that help healthcare organizations improve efficiency, optimize processes, and enhance service quality.

• 5+ years of experience as an MLOps Engineer / ML Engineer.
• Hands-on experience with Kubeflow Pipelines (KFP v2).
• Experience training models on GPUs.
• Experience fine-tuning LLMs/transformers.
• Experience with MLflow for model tracking.
• Experience with boosting models (XGBoost, CatBoost).
• Deep proficiency in the Python ecosystem and modern engineering practices.
• Experience working in regulated/enterprise cloud-native environments.
• Competent with SQL and large-scale data processing.
• CI/CD experience (GitLab CI preferred), with clean code and testing practices.
• English language proficiency from Intermediate+ upwards.
• German language proficiency from Intermediate+ upwards.

Nice to have:

• Pre-training experience for LLMs beyond fine-tuning.
• Experience with GPU orchestration in Kubernetes.
• Experience in zero-trust environments (network policies, restrictive container rights).
• Knowledge of DuckDB.
• Experience with modern Python tooling (uv).

• Building and orchestrating ML pipelines using Kubeflow Pipelines (KFP v2).
• Training models on GPUs, including GPU resource management within Kubernetes.
• Fine-tuning transformers/LLMs, tracking experiments and models via MLflow.
• Building classical ML models (e.g., XGBoost, CatBoost).
• Working with data using SQL Server and DuckDB for efficient in-cluster processing.
• Developing in Python (pipelines, integrations, tooling based on uv).
• Ensuring code quality with testing and CI/CD (GitLab CI).
• Operating within a zero-trust / secure-by-default environment implementing network policies and restrictive container rights.

The candidate's personal data is protected under GDPR regulations. Data is processed by Andersen Soft UAB, Krakow, for recruitment purposes with rights to data access, correction, deletion, restriction, objection, transfer, and complaint. Providing mandatory data under the Labor Code is obligatory; refusal may prevent recruitment. Consent for additional data processing is voluntary and withdrawable at any time. Data recipients include Just Join IT and other recruitment-related processors.