Machine Learning Application Engineer

Joining a remote-first team, the full-time Machine Learning Application Engineer will focus on integrating established ML techniques into data pipelines for cybersecurity applications, collaborating with AI and Data Engineers to enhance the Dragos platform. Key Responsibilities 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