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.
Tech stack
PythonSQLscikit-learnRust
Match insights
Tech:Python, SQL, scikit-learn, Rust
Level:Lead