About this role
Operational:
• • Use Python, SQL, and applied AI/ML techniques to analyze finance datasets, build predictive insights, and generate reports that improve client finance operations. • Configure systems and develop finance solutions that combine automation with machine-learning models to improve data quality, exception detection, and operational efficiency.
Functional:
• • Design Python-based automation and AI/ML pipelines for finance use cases using Pandas, NumPy, and scikit-learn for data preparation, feature engineering, model development, and evaluation. • Develop, test, and deploy RESTful APIs using Flask, Django REST Framework, or FastAPI to integrate Python and ML services with financial systems and third-party applications.
Work experience
• Total Number of Years of Work Experience: 4+ years • Relevant Number of Years of Work Experience Required: 4+ years in Python development, including hands-on AI/ML delivery • Special Call Outs on the Nature of Work Experience: Hands-on experience building Python solutions and AI/ML models for data-driven business or finance use cases; exposure to client-facing delivery and process improvement is preferred.