Be part of a revolutionary team at Doppel as a Machine Learning Engineer focused on detection systems. Your work will help counteract rising social engineering attacks across various digital channels. As a Machine Learning Engineer at Doppel, you will play a pivotal role in building scalable detection models to combat digital threats.

You'll design, train, and implement models capable of processing both batch and real-time data, collaborating with specialized teams to ensure system efficiency. Your expertise will contribute to addressing complex tasks, including NLP, classification, and anomaly detection. Key Responsibilities:
Build ML models for threat detection from myriad sources
Collaborate with teams to advance scalable ML architectures




Address challenges in anomaly detection and classification
Work with clients to develop effective threat response systems
Formulate solutions based on real-world adversarial scenarios Requirements:
Significant experience in deploying ML systems
Competency with large-scale data processing frameworks
Understanding of the balance between research and production needs
Committed to solving up-to-date digital security challenges
Ability to interact and collaborate with clients Apply your machine learning skills to strengthen Doppel’s mission of providing a safer online setting.

📌 Ml Engineer For Detection Systems At Doppel Toronto
🏢 Doppel
📍 Toronto