Principal Applied AI Engineer, Finance

Role responsibilities

Lead the design and delivery of AI and predictive models to transform financial decision-making. Architect and implement AI systems that automate finance workflows and establish best practices for model deployment and governance.

Requirements

Candidates should have over 8 years of experience in data science, software engineering, and AI engineering, with a proven track record of deploying production systems. Deep expertise in predictive modeling and strong proficiency in Python and cloud platforms is essential.

Key skills

Data Science, Software Engineering, AI Engineering, Predictive Modeling, Time Series Forecasting, Customer Churn Modeling, Python, ML/AI Frameworks, LLMs, Cloud Platforms, Distributed Systems, MLOps, API Development, Containerization, CI/CD, Generative AI

Keywords

AI, Machine Learning, Predictive Modeling, Generative AI, Agentic AI, Software Engineering, MLOps, Time Series Forecasting, Customer Churn Modeling, Python, LLMs, Cloud Platforms, Distributed Systems, API Development, Containerization, CI/CD, Financial Data, Compliance, Automation, Model Governance, Feature Engineering, Monitoring Systems, Evaluation Frameworks, Dynamic Prompting, Model Chaining, Orchestration Patterns, Fault Tolerance, Observability, Behavioral Signals, Financial Planning