ML / Advanced Analytics Engineer

Role Purpose: Develop machine learning models for anomaly detection, fraud detection, and predictive cyber analytics.

Key Responsibilities

· Build ML models (anomaly detection, clustering, classification)

· Feature engineering on cyber datasets

· Deploy models using Databricks ML / MLflow

· Monitor model performance and drift

Required Skills

· Python (Scikit-learn, MLflow, PySpark ML)

· Experience in anomaly detection / behavioural analytics

· Databricks ML stack

· Statistical modelling

Key Deliverables

· ML-based detection models

· Model pipelines & monitoring

· Feature libraries