Senior Machine Learning Engineer - Cybersecurity

Key Responsibilities

• Design, develop, and deploy machine learning models that detect anomalous behavior in Baseboard Management Controller (BMC) traffic.
• Collaborate with security analysts to translate threat intelligence into actionable data features.
• Implement end‑to‑end data pipelines, from raw telemetry ingestion to model inference and alert generation.
• Optimize models for low latency and high accuracy in real‑time threat detection scenarios.
• Document model logic, performance metrics, and maintain reproducible experiments.

Requirements

• 5+ years of experience in machine learning engineering, preferably in cybersecurity.
• Strong background in anomaly detection techniques (e.g., isolation forests, autoencoders, clustering).
• Proficiency in Python, data science libraries (scikit‑learn, TensorFlow/PyTorch), and SQL.
• Experience with large‑scale data processing (Spark, Kafka) and cloud platforms (AWS, Azure).
• Excellent communication skills and ability to explain complex models to non‑technical stakeholders.