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 scenariosRequirements:- 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 clientsApply your machine learning skills to strengthen Doppel’s mission of providing a safer online environment.#J-18808-Ljbffr

📌 Co-Op Ml Engineer: Build Real-World Ai Solutions (Winnipeg)
🏢 Doppel
📍 Winnipeg