Job Title: AI ML Engineer
Job Location: Charlotte, NC / Phoenix, AZ
Job Type: Contract
Job Description:
- 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