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описание
OPSWAT develops an end-to-end cybersecurity platform for IT, OT, and ICS critical infrastructure. Its solutions help organizations protect complex networks, secure devices, and meet compliance requirements.
задачи
Train and fine-tune models using curated datasets, and run systematic hyperparameter and architecture experiments
Build and maintain evaluation suites, including regression tests for model behavior and benchmarks across model versions
Analyze false positives and false negatives, and translate findings into dataset or training improvements
Package models with documentation, benchmarks, and reproducible evaluation results for handoff to the Engine team
Contribute to internal tools for experiment tracking and model comparison
требования
2+ Years of experience in ML engineering or applied data science
Strong Python skills and hands-on experience with modern model training and fine-tuning workflows
Experience with structured model evaluation, including accuracy, precision/recall trade-offs, drift, and edge-case analysis
Comfortable working with defined acceptance criteria and production constraints
условия
The role is based in the newly opening Budapest office
