Develop ML models for behavioral modeling and cybersecurity attack detection.
Collaborate with cross-functional teams to translate requirements into ML solutions.
Design, develop, and productionize ML models and features.
Work with infra and product engineers to productionize models.
Monitor production models via feature engineering and rules.
Participate in code reviews and stay current with ML research.

🎯 Requirements

3+ years of ML engineering or similar in a commercial setting.
Strong knowledge of ML algorithms, statistics, and predictive modeling.
Python proficiency; pandas, scikit-learn; PyTorch/TensorFlow optional.
Awareness of MLOps and productionizing ML models.
Experience building data/metrics pipelines with SQL or Spark.
Ability to communicate technical ideas clearly to non-technical audiences.

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