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Staff ML Application Engineer

DragosIndustrial Cybersecurity company
United StatesLead
Data & AI

About the role

Build and integrate applied ML solutions into product and data pipelines.

  • Build and integrate applied ML solutions into product and data pipelines to support ICS/OT cybersecurity capabilities.
  • Key Responsibilities Apply clustering, classification, and anomaly detection techniques to cybersecurity data.
  • Integrate ML outputs into batch and near-real-time pipelines and product workflows.
  • Collaborate with Data and AI engineers to ensure observability and robust data contracts.
  • Write clean, maintainable Python or Rust and troubleshoot production ML components.
  • Requirements 4+ years software engineering experience with production ML or data pipelines.
  • Strong Python and SQL skills; familiarity with scikit-learn and ML techniques.
  • Understanding of data pipeline concepts, model evaluation, and communication skills.
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Tech stack

PythonSQLscikit-learnRust

Match insights

Tech:Python, SQL, scikit-learn, Rust
Level:Lead

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