Artificial Intelligence Engineer

We are seeking a highly skilled Senior Ai
- Engineer with specialized experience in the banking sector. This individual contributor role focuses on designing, developing, and deploying sophisticated ML solutions for critical financial applications, with emphasis on regulatory compliance, model robustness, and production scalability.

• Design, develop, and implement machine learning models for banking applications including fraud detection, anti-money laundering (AML), credit risk assessment, customer churn prediction, and personalized banking services
• Build end-to-end ML pipelines from data ingestion and preprocessing to model deployment and monitoring
• Implement robust feature engineering frameworks for financial time-series, transactional, and customer behavioural data
• Optimize models for performance, scalability, and regulatory compliance in production environments
• Develop and maintain model documentation for validation, audit, and regulatory requirements

• 5+ years of professional experience in machine learning engineering
• 2+ years specifically in financial services, banking, or fintech
• Expert proficiency in Python and ML libraries (Scikit-learn, XGBoost, Light
  
  GBM)
• Production experience with deep learning frameworks (Tensor Flow, PyTorch)
• Strong experience with cloud ML platforms (AWS Sage Maker, Azure ML, or GCP Vertex AI)
• Advanced SQL skills and experience with big data technologies (Spark, Databricks)
• Proficiency in MLOps tools (MLflow, Kubeflow, Airflow, Prefect)
• Experience with containerization (Docker) and CI/CD tools (Git Lab CI, Jenkins, Git Hub Actions)