ML/MLOps Engineer for healthcare AI

Andersen is building a cloud-native AI platform and delivering scalable machine learning solutions for the healthcare industry. Its European healthcare-sector customer provides consulting, digital solutions, data-driven services, and operational support that help healthcare organizations improve efficiency, optimize processes, and enhance service quality.

• Build and orchestrate ML pipelines using Kubeflow Pipelines (KFP v2);
• Train models on GPUs, including GPU resource management within Kubernetes;
• Fine-tune transformers and LLMs, and track experiments and models via MLflow;
• Build classic ML models using XGBoost and CatBoost;
• Work with data using SQL Server and DuckDB for efficient in-cluster processing of large datasets;
• Develop Python pipelines, integrations, and tooling based on uv;
• Ensure code quality through testing and CI/CD with GitLab CI;
• Work within a zero-trust and secure-by-default environment using network policies and restrictive container rights.

• 5+ Years of experience as an MLOps Engineer or ML Engineer;
• Hands-on experience with Kubeflow Pipelines (KFP v2);
• Experience training models on GPUs;
• Experience fine-tuning LLMs and transformers;
• Experience with MLflow for model tracking;
• Experience with boosting models, including XGBoost and CatBoost;
• Deep proficiency in the Python ecosystem and modern engineering practices;
• Experience working in regulated enterprise cloud-native environments;
• Experience with SQL and large-scale data processing;
• CI/CD experience, preferably with GitLab CI, plus clean code and testing practices;
• English at Intermediate+ level or above;
• German at Upper-Intermediate level or above;
• Nice to have: LLM pre-training experience beyond fine-tuning, GPU orchestration in Kubernetes, experience in zero-trust environments, knowledge of DuckDB, modern Python tooling with uv.

• Fully remote, office, or hybrid work options are available;
• Professional, financial, and career growth opportunities;
• Mentoring and onboarding systems for each new employee;
• Opportunity to earn up to an additional 1,000 USD per month depending on expertise, included in the annual bonus;
• Access to the corporate training portal;
• Certification compensation, including AWS and PMP;
• Referral program;
• Private health insurance and sports activity compensation.