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 contemporary 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. #J-18808-Ljbffr

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