Senior Machine Learning Systems Builder

📋 Description Own detection capabilities end to end: from problem framing to production telemetry. Build and maintain data pipelines for model training: data collection, labeling, feature Design, train, evaluate models; produce runtime-portable artifacts (e.g., ONNX) consumed by Automate model build/release pipelines (e.g., SageMaker Pipelines) for reproducible training and Manage production model quality: telemetry feedback, drift monitoring, retraining cadence. Design evaluation methodology for adversarial, drifting domains with strict false positive ceilings. 🎯 Requirements 3+ years applied ML across text/content classification, computer vision, similarity/search, or End-to-end delivery: models from data to production in customer-facing systems. Experience building data pipelines for model training: data collection, labeling, ground truth Strong Python; PyTorch or TensorFlow; experience with model evaluation frameworks. Solid statistics and experiment design, especially under distribution shift. Comfort integrating with ONNX consumption from JVM services. 🎁 Benefits Innovative Environment: work at cybersecurity frontier with cutting-edge tech. Collaborative Culture: valued teamwork and diverse, talented colleagues. Professional Growth: ongoing training and development opportunities. Impactful Work: contribute to securing the digital world for organizations worldwide. Fun and Dynamic Atmosphere: team-building activities and social events.