Description

You will optimize machine learning workflows and deployment to support Financial Economic Crime and Customer Due Diligence operations.

Responsibilities

• Build scalable machine learning solutions in collaboration with cross-functional teams.
• Optimize deployment processes for ML models.
• Maintain and improve ML workflows.
• Monitor data quality and system performance to ensure operational health.

Required Skills

• Minimum 4 years of relevant professional experience.
• At least 2 years of direct experience in ML Engineering.
• Proficiency in Python.
• Experience with PySpark.
• Cloud expertise, specifically within Azure.
• Strong software development skills.
• Bachelor’s degree in computer science.

Preferred Skills

• Experience using Databricks on Azure.

Key Skills

Education

Bachelor’s degree in computer science