ML Engineer for Detection Systems at Doppel

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 modern 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 environment. #J-18808-Ljbffr