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Über
Apply clustering, classification, and anomaly detection techniques to cybersecurity data problems in the ICS/OT domain Integrate ML model outputs into existing data pipelines and product workflows for batch and near-real-time processing Communicate model behaviors and ensure reliable pipeline components while troubleshooting ML component issues in production
Required Qualifications
4+ years of software engineering experience with a focus on ML outputs or data pipelines in production Strong Python skills and proficiency in SQL, with experience in handling data at scale Hands-on experience with ML techniques such as clustering, classification, and anomaly detection Familiarity with scikit-learn and the Python ML ecosystem Solid understanding of data pipeline concepts and the ability to evaluate model output trustworthiness
Sprachkenntnisse
- English
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