Senior AI/Machine Learning Researcher (m/f/n)

Summary You will become part of the Incident Creator and AI Research team within the Technology Division in Bratislava. The team focuses on detecting malicious activity, combining correlation rules with machine learning models to evaluate potential security incidents from terabytes of behavioral data. Beyond detection, the team builds incident-handling tooling for security operators and develops automation, including potential AI SOC. Job description As a Senior Machine   AI   Researcher, you take part in researching, experimenting, and creating the best models to evaluate potential incidents. Beyond that, you look for applications of   AI/ ML   approaches across the entire incident lifecycle, whether signal filtering, incident summarization, or malicious activity mitigation.   About the Role   Explore new   AI /ML   opportunities,   leveraging   your accumulated   expertise   to evaluate   state-of-the-art   research and decide   what's   worth pursuing in our domain.   Design and run experiments on terabytes of behavioral data (on-prem and cloud),   validating   ideas before production on dedicated in-house GPU servers —   enough compute   to compete with the biggest players in the industry.   Challenge existing solutions and decisions — driving critical   discussion   in the team.   Collaborate with data collection, security operations, and software development —   identifying   promising opportunities to apply   AI /ML   where it advances   real business   goals.   Mentor other researchers and steer the long-term research direction, supporting technical decisions that push the boundaries of AI /ML   in cybersecurity.   Essential Requirements   Deep understanding of the mathematical and statistical principles behind modern ML /AI   methods — ability to critically evaluate and adapt models.   Experience with modern neural network architectures, especially transformers and their variants.   Strong drive for continuous learning and staying current with   state-of-the-art   research.   Ability to work independently across the full research lifecycle — from literature review to experimentation to production-ready solutions.   Desirable Requirements   University degree in Machine Learning, Data Science, Mathematics, or   a related   technical field.   Basic understanding of computer and network security.   Experience with cloud platforms — AWS preferred.   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 .   Basic wage component (brutto): from 4500 EUR/m. (brutto) * The final basic wage component can be increased accordingly to individual skills and experience of the selected candidate. * Performance bonus 2 times per year up to 15 - 20% of the basic salary paid for the evaluation period(usually 6 months). #LI-JK1…