Experienced AI/ML Researcher (m/f/n)
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Before you apply
Location3 Locations
Also inBratislava; Brno; Prague
Work modehybrid
Typefull-time
SenioritySenior
DepartmentTechnology Division
Company size1,001–5,000 people
PostedJul 23, 2026 · 3mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Practical understanding of modern AI/ML methods — knowing which models fit which problems, when to use simpler approaches versus novel architectures, and how to optimize them for production.
Proficiency in Python and its AI/ML ecosystem.
Experience with AI/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 with state-of-the-art research.
University degree in Machine Learning, Data Science, Mathematics, or a related technical field.
Basic understanding of computer and network security.
Experience with Big Data technologies and cloud platforms (AWS).
Skills
Python
Scikit-learn
PyTorch
TensorFlow
Polars
Hadoop
Spark
Hive
Impala
Iceberg
LanceDB
SQL
Kafka
MLflow
Kubeflow
Argo
Git
JIRA
Confluence
Docker
Kubernetes
Jenkins
AWS
Benefits
Health insurance
Multisport card
Supplementary pension
Sick days
Marriage allowance
Childbirth allowance
Parental contribution
Refreshments
Discounts
Loyalty bonus
Summary
About the role
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.
Responsibilities
Job description
As an Experienced AI Researcher, you apply machine learning methods to real-world cybersecurity problems — preparing behavioral data, building and evaluating models, and guiding them toward production. Beyond that, you maintain and 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.
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Build and evaluate prototypes, iterating on architectures and features until production-quality, on dedicated in-house GPU servers — enough compute to compete with the biggest players in the industry.
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Deploy models into production and integrate them with existing detection and incident-handling pipelines.
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Monitor, maintain, and optimize deployed models across their full lifecycle — from drift detection to retraining and performance tuning.
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When opportunities arise, explore novel architectures beyond applying existing models.
Essential Requirements
•
Practical understanding of modern AI/ML methods — knowing which models fit which problems, when to use simpler approaches versus novel architectures, and how to optimize them for production.
•
Proficiency in Python and its AI/ML ecosystem.
•
Experience with AI/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 with state-of-the-art research.
Desirable Requirements
•
University degree in Machine Learning, Data Science, Mathematics, or a related technical 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.
Basic wage component (brutto): from 3000 EUR
* 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 10% of the basic salary paid for the evaluation period(usually 6 months).
#senior #medior
Benefits
Benefits
Health & well-being
•
BenefitPlus
•
Healthcare (check-ups/annual programs)
•
Multisport card
•
Travel card “električenka”
•
Supplementary pension saving
•
Sick days
Family
•
Marriage allowance
•
Childbirth allowance
•
Parental contribution
•
ESET family events (Family day, St.Nicholas)
Office
•
Refreshments in the office (fruits, coffee, soft drinks)
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Let´s get together breakfast
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Activity room, quiet room
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ESET events (Žranica, Christmas party…), teambuildings
Other
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Loyalty allowance
•
Loyalty extra days off
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Loyalty cake
•
Loyalty glass award
•
Refer a friend
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Christmas presents
•
Discounts from external providers
Primary location
Bratislava
Additional locations
Brno, Prague
Time type
Full time