Machine Learning Engineer II - Behavioral Security Products

📋 Description

• Contribute to the development of machine learning algorithms and models for behavioral modeling and
• Work with cross-functional teams to understand requirements and translate them into effective
• Conduct exploratory data analysis, feature engineering, model development and evaluation.
• Work with infrastructure & product engineers to productionize models and new ML-based features.
• Monitor and improve production models through feature engineering, rules, and ML modeling as part
• Participate in code reviews to ensure the quality and maintainability of ML systems.

🎯 Requirements

• Proven experience as a Machine Learning Engineer or similar role in a commercial environment (3+
• Knowledge of machine learning algorithms, statistics, and predictive modeling.
• Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally
• Awareness of machine learning operations (MLOps) and productionization of ML models best practice.
• Familiarity with building data and metric generation pipelines, using tools like SQL or Spark, to
• Ability to communicate technical ideas in a clear, non-technical manner.