AI Engineer

Machine Learning & AI Engineering

• Design develop validate and deploy machine learning models for commercial and operational use cases including customer segmentation churn prediction credit risk investment analytics and fraud detection.
• Conduct exploratory data analysis (EDA) to surface patterns anomalies and insights within the Groups data assets.
• Build and maintain MLOps pipelines model versioning deployment monitoring and retraining workflows.
• Monitor deployed models for performance degradation data drift and concept drift retraining as required.

Robotic Process Automation (RPA)

• Identify design build test and deploy RPA automation solutions using approved platforms (UiPath Automation Anywhere or Power Automate).
• Develop intelligent automation solutions combining RPA with AI/ML capabilities for complex process automation use cases.
• Manage deployed automation bots monitoring performance handling exceptions and conducting lifecycle maintenance.
• Track and report automation value delivered in terms of FTE savings processing time reduction and error rate improvements.

Data Intelligence & Analytics Support

• Build and maintain data pipelines and feature engineering processes that support ML models and analytical products.
• Collaborate with the Data Warehouse Manager to ensure clean reliable data is available for modelling and automation.
• Support the Data Visualization Specialists with advanced analytics outputs and model result visualizations.

Document all ML models automation workflows and data engineering components thoroughly.

1. Bachelors degree from any related discipline
2. Masters degree is a plus
3. A minimum of 3-5 years experience in Data Science and Analysis.