Machine Learning Engineer

Job Summary

Building edge intelligence, the full-time Machine Learning Engineer will design, train, and deploy machine learning models for anomaly detection and intrusion prevention while working remotely.

Key responsibilities

• Design and train machine learning models focused on anomaly detection, bot mitigation, and zero-day intrusion detection
• Implement and optimize inference models to efficiently process massive volumes of HTTP traffic at the edge
• Create robust data pipelines that continuously monitor model performance and automate retraining based on threat intelligence

Required qualifications

• Fluency in Python and SQL, with proficiency in ML libraries like PyTorch, TensorFlow, or Scikit-Learn
• Experience deploying machine learning models in production with high-throughput, low-latency requirements
• Strong understanding of web security, HTTP protocols, and common attack vectors
• Familiarity with edge computing platforms and CDN/WAF concepts
• Experience with cloud-based infrastructure and managing large-scale datasets