CYREBRO is revolutionizing business cybersecurity with the first interactive SOC (Security Operations Center) Platform. Our cutting-edge infrastructure transforms how businesses of all sizes respond to and mitigate cyber threats. By centralizing security operations, the CYREBRO platform delivers unparalleled clarity, insight, and real-time cyber recommendations, seamlessly integrating all security events into a single command center.

Our next-gen Managed Detection and Response (MDR) solution leverages advanced analytics to proactively identify, investigate, and mitigate cyber threats in real-time. By combining human expertise with cutting-edge technology, CYREBRO offers a comprehensive approach to safeguarding organizations from evolving cyber risks.

Role:

As a Machine Learning practitioner, you'll collaborate closely with our data science, research, Innovation, and software development teams to create, train, and deploy machine learning models.

Your work will contribute to the development of AI systems that revolutionize cyber threat detection.

Responsibilities:

• Design, train, and deploy machine learning models and pipelines to enhance cyber threat detection capabilities.
• Leverage the company's extensive real-world threat data to train and optimize machine learning models.
• Work closely with a global team of cybersecurity researchers and data scientists to apply the latest advancements in machine learning and deep learning technologies.
• Offer technical expertise and guidance to development teams, ensuring they effectively leverage AI/ML technologies and best practices
• Continuously research and implement the newest machine learning techniques to enhance our products and services
  
  

Requirements:

• 3+ years of proven experience designing and implementing machine learning models especially in the anomaly detection area.
• 3+ years of proven experience with Python.
• Experience in using ML workflow frameworks such as Kubeflow Vertex pipelines, AirFlow, or Sagemaker pipelines (preferred)
• Experience manipulating data sets and building statistical models for large scale datasets
• Experience with cloud-based machine learning platforms such as Google cloud, AWS (nice to have)
• Knowledge of cybersecurity principles and threat detection techniques (nice to have)