Machine Learning Engineer

About this role

CloudWalk is seeking a Machine Learning Engineer to develop intelligent security systems that detect and prevent threats in real-time at the edge. You'll design and deploy ML models to analyze network traffic, work with security teams on attack data, and build proactive defense mechanisms protecting high-volume transaction systems.

What you'll do

• Design, train, and deploy machine learning models for edge-based threat detection
• Analyze network traffic and attack data to identify anomalies and intrusion patterns
• Collaborate with red teamers and security engineers to improve model effectiveness
• Build scalable systems that process large volumes of security data
• Develop real-time defense mechanisms against sophisticated attacks
• Bridge security intelligence with data science to create proactive protection

What they're looking for

• Machine learning model development and deployment
• Network security and anomaly detection
• Large-scale data processing and analysis
• Edge computing systems
• Python or similar ML programming languages
• Data engineering and pipeline design
• System scalability and optimization
• Cybersecurity fundamentals