Public summary
An AI Engineer role based in Germany focused on developing scalable and reliable AI and machine learning solutions within the regulated clinical-trial healthcare sector. The position involves working across the AI/ML lifecycle from problem understanding, solution development, deployment to monitoring and continuous improvement. The role requires collaboration with cross-functional teams and adherence to data governance and AI regulatory standards, including GDPR and EU AI Act requirements.
Location and work setup
- Location
- Berlin, Hamburg
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Design, build, and operate production AI and machine learning solutions, including data pipelines and inference services; develop LLM-powered features using methods like retrieval-augmented generation; deliver end-to-end ML workflows on Databricks including data preparation, training, deployment; maintain production quality through evaluation, monitoring, and drift detection; collaborate with various teams to translate business needs into technical requirements; contribute to governance practices around data security and responsible AI; communicate technical trade-offs and model limitations to stakeholders; review peer contributions and improve shared libraries and AI platform tooling.
Qualifications
Degree in Computer Science, Data Science, Statistics, Mathematics or related field, or equivalent experience; 3–5 years hands-on experience in Machine Learning Engineering or Applied AI with successful productization of AI solutions; strong Python skills and experience with ML frameworks like scikit-learn or PyTorch; solid SQL and experience with data warehouses or lakehouses; hands-on experience with Databricks and components such as Spark, Delta Lake, MLflow; proficiency in evaluating and deploying models with focus on reliability; familiarity with LLM application patterns and cloud platforms (preferably AWS); strong communication skills in English (C1 level); ability to collaborate with non-technical stakeholders and explain AI concepts clearly.