{"id":2165624,"url":"https://alion.io/job/eset-experienced-aiml-researcher-mfn","title":"Experienced AI/ML Researcher (m/f/n)","company":{"id":44798,"name":"ESET","domain":"eset.com","url":"https://alion.io/company/eset","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":12,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":51,"computed_at":"2026-11-06T05:58:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bratislava, Slovakia","Brno, Czech Republic","Prague, Czech Republic"],"countries":["SK","CZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Confluence","optional":true},{"name":"Docker","optional":true},{"name":"ESET","optional":true},{"name":"Git","optional":true},{"name":"Hadoop","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubeflow","optional":true},{"name":"Kubernetes","optional":true},{"name":"LanceDB","optional":true},{"name":"MLFlow","optional":true},{"name":"Polars","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-07-23T00:00:00Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-11-06T13:35:22Z","board_verified":true,"closed_at":null,"days_open":106,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":106},"description":"Summary\nYou 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\nAs 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.\nAbout the Role\nPrepare and process behavioral data for training models that detect malicious activity.\n\nBuild 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.\n\nDeploy models into production and integrate them with existing detection and incident-handling pipelines.\n\nMonitor,maintain, andoptimizedeployed models across their full lifecycle - from drift detection to retraining and performance tuning.\n\nWhen opportunities arise, explore novel architectures beyond applying existing models.\n\nEssential Requirements\nPractical understanding of modernAI/ML methods - knowing which models fit which problems, when to use simpler approaches versus novel architectures, and how tooptimizethem for production.\n\nProficiencyin Python and itsAI/ML ecosystem.\n\nExperience withAI/ML lifecycle tooling and infrastructure for production model serving and lifecycle management.\n\nAbility to work independently and take full ownership of model development from start to finish.\n\nStrong drive for continuous learning and staying current withstate-of-the-artresearch.\n\nDesirable Requirements\nUniversity degree in Machine Learning, Data Science, Mathematics, ora relatedtechnical field.\n\nBasic understanding of computer and network security.\n\nExperience with Big Data technologies and cloud platforms (AWS).\n\nTechnologies\nPython, Scikit-learn,PyTorch, TensorFlow, Polars, Hadoop, Spark, Hive, Impala, Iceberg,LanceDB, (My)SQL, Kafka,MLflow, Kubeflow, Argo, Git, JIRA, Confluence, Docker, Kubernetes, Jenkins, AWS.\nBasic wage component (brutto): from 3000 EUR\n* The final basic wage component can be increased accordingly to individual skills and experience of the selected candidate.\n* Performance bonus 2 times per year up to 10% of the basic salary paid for the evaluation period(usually 6 months).\n#LI-JK1 #senior #medior #LI-Hybrid\nBenefits\nHealth & well-being\nBenefitPlus\nHealthcare (check-ups/annual programs)\nMultisport card\nTravel card \"električenka\"\nSupplementary pension saving\nSick days\nFamily\nMarriage allowance\nChildbirth allowance\nParental contribution\nESET family events (Family day, St.Nicholas)\nOffice\nRefreshments in the office (fruits, coffee, soft drinks)\nLet´s get together breakfast\nActivity room, quiet room\nESET events (Žranica, Christmas party..), teambuildings\nOther\nLoyalty allowance\nLoyalty extra days off\nLoyalty cake\nLoyalty glass award\nRefer a friend\nChristmas presents\nDiscounts from external providers\nPrimary location\nBratislavaAdditional locations\nBrno, PragueTime type\nFull 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