
Advanced Machine Learning Anomaly Detection Specialist
4 hours ago
We are seeking an experienced AI/ML Engineer with a strong background in anomaly detection to join our team. As a key member of our cybersecurity team, you will be responsible for developing and implementing advanced machine learning models to detect and prevent anomalies in our systems.
- Lead and contribute to the full lifecycle of AI/ML projects, from problem definition and data exploration to model development, deployment, and monitoring in the Azure cloud environment with Azure Databricks.
- Apply a strong foundation in deep learning, probabilistic modeling, and time series clustering techniques and their productionization to solve problems such as anomaly detection and fraud detection.
- Develop and scale production-ready ML models for anomaly and fraud detection.
Requirements:
- Strong past experience in ML engineering and data science, with at least 5-10 years of experience in machine learning and anomaly detection.
- Strong Python proficiency with hands-on experience in TensorFlow, XGBoost, time series analytics, and Azure DBP.
- Hands-on experience with large-scale datasets and probabilistic modeling.
Preferred Qualifications:
- Cybersecurity background is a plus.
- Experience with Azure Databricks is an advantage.
About This Role:
This is an exciting opportunity to work on cutting-edge AI/ML projects and contribute to the advancement of our cybersecurity capabilities. If you have a passion for machine learning and anomaly detection, we encourage you to apply.
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