AI ML Engineer

Position Overview

We are seeking an AI ML Engineer for a Contract role in Charlotte, NC / Phoenix, AZ. The ideal candidate brings a robust background in artificial intelligence, machine learning, statistical modeling, data engineering, and insurance/reinsurance domain expertise. You will work on cutting-edge projects and engage in AI/GenAI Research to develop innovative solutions.

Key Responsibilities

• Develop and implement machine learning models using Python, Pandas, NumPy, Scikit-Learn, and SQL.
• Apply statistical modeling techniques including regression, classification, clustering, and time series forecasting.
• Create data visualizations with Power BI, Tableau, Matplotlib, and Seaborn.
• Leverage big data technologies such as Spark and Hadoop to optimize data processing.
• Build and maintain ETL processes, including data wrangling and feature engineering.
• Collaborate with actuarial, underwriting, IT, and other cross-functional teams.
• Conduct AI/GenAI Research to drive innovation in advanced analytics.

Required Qualifications

• Proficiency in programming languages and data analysis tools (e.g., Python; familiarity with R or SAS is a plus).
• Experience in Natural Language Processing (NLP) and working with geospatial data.
• Familiarity with cloud platforms (Azure or AWS) for data pipeline construction and model deployment.
• Solid understanding of Monte Carlo simulations, stochastic modeling, and regulatory frameworks (Solvency II, IFRS 17).
• Strong problem-solving, critical thinking abilities, and high attention to detail.
• Excellent communication and storytelling skills for non-technical stakeholders.
• Ability to manage multiple projects, prioritize effectively, and demonstrate continuous learning.
• Mandatory: AI/GenAI Research expertise to stay at the forefront of technological innovation.