Experienced AI/ML Researcher (m/f/n)

As an ExperiencedAIResearcher, you apply machine learning methods to real-world cybersecurity problems — preparing behavioral data,buildingand evaluating models, and guiding them toward production. Beyond that, youmaintainand improve deployed models across their full lifecycle, from monitoring to continuous optimization.

About the Role

• Prepare and process behavioral data for training models that detect malicious activity.

• Build and evaluate prototypes, iterating on architectures and features until production-quality, on dedicated in-house GPU servers —enough computeto compete with the biggest players in the industry.

• Deploy models into production and integrate them with existing detection and incident-handling pipelines.

• Monitor,maintain, andoptimizedeployed models across their full lifecycle — from drift detection to retraining and performance tuning.

• When opportunities arise, explore novel architectures beyond applying existing models.

Essential Requirements

• Practical understanding of modernAI/ML methods — knowing which models fit which problems, when to use simpler approaches versus novel architectures, and how tooptimizethem for production.

• Proficiencyin Python and itsAI/ML ecosystem.

• Experience withAI/ML lifecycle tooling and infrastructure for production model serving and lifecycle management.

• Ability to work independently and take full ownership of model development from start to finish.

• Strong drive for continuous learning and staying current withstate-of-the-artresearch.

Desirable Requirements

• University degree in Machine Learning, Data Science, Mathematics, ora relatedtechnical field.

• Basic understanding of computer and network security.

• Experience with Big Data technologies and cloud platforms (AWS).

Technologies

Python, Scikit-learn,PyTorch, TensorFlow, Polars, Hadoop, Spark, Hive, Impala, Iceberg,LanceDB, (My)SQL, Kafka,MLflow, Kubeflow, Argo, Git, JIRA, Confluence, Docker, Kubernetes, Jenkins, AWS.