Roles & Responsibilities:

• Develop and deploy AI/ML models for Financial Crime use cases including AML, fraud, scam detection, and risk intelligence
• Work with large-scale structured and unstructured datasets using Python, SQL, and PySpark to build scalable data and ML pipelines
• Build and optimise cloud-native AI solutions and workflows on AWS
• Apply statistical analysis, feature engineering, experimentation, and model evaluation techniques to improve model performance
• Collaborate with engineers, product owners, and domain experts to solve complex business problems and deliver impactful AI solutions
• Support model deployment, monitoring, and continuous improvement of production ML systems
• Contribute to best practices across responsible AI, model governance, and ML Ops.

Essential Skills

• :5+ years of experience in Data Science, Machine Learning, or Applied A