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Machine Learning Engineer

2 weeks ago

Vancouver, British Columbia, Canada Fortinet Full time

About the Role

Fortinet's SaaS-based FortiNDR Cloud requires a highly skilled Machine Learning Engineer to conduct research on detecting network threats using cutting-edge machine learning techniques. Our team develops behavioral observation capabilities through world-class threat research. The ideal candidate will have extensive experience in machine learning, data science, or a related field, with at least 3 years in cybersecurity.

Key Responsibilities

  • Develop probabilistic models and statistical frameworks to detect and respond to network-based threats.
  • Design, train, and evaluate machine learning models to detect suspicious network activity.
  • Create and optimize data pipelines that process, clean, and transform raw cybersecurity data into formats suitable for machine learning.
  • Implement machine learning models in production environments, focusing on model optimization for high performance and scalability.
  • Stay current on the latest ML techniques and tools; prototype and experiment with new algorithms to continuously enhance our capabilities.

Requirements

  • 9+ years of experience in machine learning, data science, or a related field, with at least 3 years in cybersecurity.
  • Bachelor's or Master's degree in computer science, Data Science, Machine Learning, or other quantitative fields. PhD is a plus.
  • Strong proficiency in Python.
  • Experience in data analysis with SQL and writing complex SQL queries.
  • Knowledge and experience with Production Machine Learning Development Lifecycles from Data Analysis, Training, Validation, to Deployments.
  • Experience with either AWS, Azure, or GCP, or similar cloud compute environments.