AI ML Engineer

Job Title:

AI ML Engineer

Job Location:

Charlotte, NC / Phoenix, AZ

Job Type:

Contract

• Programming Languages Python Pandas NumPy Scikitlearn SQL
• Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting
• Data Visualization Power BI Tableau Matplotlib Seaborn
• Big Data Technologies Spark Hadoop basic understanding
• Cloud Platforms Azure or AWS especially for data pipelines and model deployment
• Data Engineering ETL processes data wrangling and feature engineering
• Insurance Reinsurance Domain Knowledge Exposure to actuarial models risk assessment and claims analytics

Technical Skills:

• R or SAS for statistical analysis
• Experience with Natural Language Processing NLP
• Familiarity with geospatial data and mapping tools
• Knowledge of Monte Carlo simulations and stochastic modeling
• Experience with Git and CICD pipelines
• Exposure to regulatory frameworks Solvency II IFRS 17

Soft Skills:

• Strong problem solving and critical thinking abilities
• Excellent communication and storytelling skills for nontechnical stakeholders
• Collaborative mindset with cross functional teams actuarial underwriting IT
• Ability to manage multiple projects and prioritize effectively
• Curiosity and continuous learning attitude
• High attention to detail and data integrity

Qualifying Questions:

• Can you describe a project where you applied machine learning to solve a business problem in the insurance or financial domain
• How do you ensure the quality and reliability of your data before building models
• Have you worked with actuarial teams or underwriting departments before If yes how did you contribute to their decision making process

Mandatory Skills :

AI/GenAI Research