ML/MLOps Engineer in Germany

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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 project is focused on building a cloud-native MLOps platform for the healthcare sector to support large-scale machine learning and AI workloads. It includes developing ML infrastructure based on Kubeflow, enabling LLM fine-tuning, traditional machine learning, and scalable data processing in a secure, zero-trust environment.

• 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 classic ML models (XGBoost, CatBoost).
• Working with data using SQL Server and DuckDB as a lightweight OLAP solution for efficient in-cluster processing of large datasets.
• Developing in Python (pipelines, integrations, tooling based on uv).
• Ensuring code quality: testing, CI/CD (GitLab CI).
• Working within a zero-trust / secure-by-default environment (network policies, restrictive container rights).

• Experience as a MLOps Engineer / ML Engineer for 5+ years.
• Hands-on experience with Kubeflow Pipelines (KFP v2).
• Experience training models on GPUs.
• Experience fine-tuning LLMs/transformers.
• Experience with MLflow (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.
• Experience with SQL and large-scale data processing.
• CI/CD experience (GitLab CI preferred), clean code and testing practices.
• Level of English – from Intermediate+ or above.
• Level of German – from Upper-Intermediate or above.

• 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).

• Kubeflow
• MLflow
• Python
• SQL

• Angielski

• 17.8k–27.7k PLN brutto/m (Umowa o pracę)
• Umowa o pracę - Stałe godziny pracy (100%)
• Praca zdalna: W całości
• Pakiet medyczny, Ubezpieczenie, Pakiet sportowy
• Kawa / Herbata

Andersen – your global software development partner Andersen is a global software development company with over 18 years of experience supporting businesses worldwide in their digital transformation.

Headquartered in Poland, we operate development centers across Germany, the USA, the UK, Lithuania, Hungary, Kazakhstan, Georgia, Azerbaijan, Cyprus, and the UAE, enabling us to deliver high-impact solutions close to our customers. We offer end-to-end IT services — from custom software development, API integration, and system architecture to legacy modernization and long-term support. With deep technical expertise and a focus on business value, we build tailored, scalable, and secure digital products. Harnessing the power of AI, Machine Learning, Data Science, Big Data, and Visual Technologies, we create intelligent, future-ready solutions that support digital transformation and solve real-world business problems.

Recognized among the world’s Top 1,000 B2B service providers, Andersen has earned the trust of industry leaders. Our portfolio includes long-term partnerships with Siemens, S&P Global, Ryanair, IHS Markit, TUI, Johnson & Johnson, T-Systems, and many more. With a team of 3,700+ highly qualified experts in 16+ global locations, we have successfully delivered over 1,000 projects across industries such as Healthcare, FinTech, Logistic, Automotive,

Manufacturing, E-commerce, Multimedia & Entertainment and more. Driven by responsibility, client-focus, and commitment to results, Andersen is your reliable tech partner for building high-ROI, future-proof digital solutions — anywhere in the world.