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