Machine Learning Engineer II - Behavioral Security Products
Abnormal Securityabout 5 hours ago
Remote, United Kingdom
Mid Level / Senior
H1B Sponsor
Responsibilities
- Contribute to the development of machine learning algorithms and models for behavioral modeling and cybersecurity attack detection.
- Work with cross-functional teams to understand requirements and translate them into effective machine learning solutions.
- Conduct exploratory data analysis, feature engineering, model development, and evaluation.
- Collaborate with infrastructure and product engineers to productionize models and new ML-based features.
- Monitor and improve production models through feature engineering, rules, and ML modeling.
- Participate in code reviews to ensure the quality and maintainability of ML systems.
- Stay updated on the latest research in machine learning, data science, and AI.
- Adopt and contribute to the development of machine learning best practices within the organization.
Requirements
- Proven experience as a Machine Learning Engineer or similar role in a commercial environment (3+ years).
- Knowledge of machine learning algorithms, statistics, and predictive modeling.
- Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally pytorch/tensorflow.
- Awareness of machine learning operations (MLOps) and productionization of ML models best practices.
- Familiarity with building data and metric generation pipelines using tools like SQL or Spark.
- Ability to communicate technical ideas in a clear, non-technical manner.
Tech Stack
Apache AirflowApache SparkAWSAzurePandasPythonPyTorchscikit-learnSQLTensorFlow
Categories
AI & MLData ScienceSecurity