AI/ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with a contract length of "unknown" and a pay rate of "unknown." Located in Charlotte, NC / Phoenix, AZ / NYC, it requires expertise in Python, machine learning, data visualization, and insurance domain knowledge.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
-
πŸ—“οΈ - Date discovered
August 27, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#Big Data #Storytelling #Spatial Data #Cloud #Spark (Apache Spark) #Hadoop #Tableau #Visualization #Pandas #Regression #Matplotlib #NLP (Natural Language Processing) #GIT #ML (Machine Learning) #Time Series #Model Deployment #Data Wrangling #R #AI (Artificial Intelligence) #AWS (Amazon Web Services) #Microsoft Power BI #SQL (Structured Query Language) #Data Engineering #BI (Business Intelligence) #NumPy #Clustering #Deployment #Azure #Data Integrity #Data Science #Python #Classification #"ETL (Extract #Transform #Load)" #SAS #Data Pipeline #Programming #Forecasting
Role description
Position: AI ML Engineer Location: Charlotte, NC / Phoenix, AZ / NYC Role Overview We are seeking a highly analytical and detail oriented Data Scientist to join our team in the reinsurance domain The ideal candidate will leverage data to drive insights into risk modeling pricing strategies claims analysis and portfolio optimization This role requires strong technical expertise business acumen and the ability to communicate complex findings clearly Technical Skills Primary β€’ Programming Languages Python Pandas NumPy Scikitlearn SQL β€’ Statistical Modeling Machine Learning Regression Classification Clustering Time Series Forecasting β€’ Data Visualization Power BI Tableau Matplotlib Seaborn β€’ Big Data Technologies Spark Hadoop basic understanding β€’ Cloud Platforms Azure or AWS especially for data pipelines and model deployment β€’ Data Engineering ETL processes data wrangling and feature engineering β€’ Insurance Reinsurance Domain Knowledge Exposure to actuarial models risk assessment and claims analytics β€’ Technical Skills Secondary Nice to Have NOT MANDATORY β€’ R or SAS for statistical analysis β€’ Experience with Natural Language Processing NLP β€’ Familiarity with geospatial data and mapping tools β€’ Knowledge of Monte Carlo simulations and stochastic modeling β€’ Experience with Git and CICD pipelines β€’ Exposure to regulatory frameworks Solvency II IFRS 17 Soft Skills β€’ Strong problem solving and critical thinking abilities β€’ Excellent communication and storytelling skills for nontechnical stakeholders β€’ Collaborative mindset with cross functional teams actuarial underwriting IT β€’ Ability to manage multiple projects and prioritize effectively β€’ Curiosity and continuous learning attitude β€’ High attention to detail and data integrity Thanks and Regards Jayesh Bhati Recruitment and operation Email: Jayesh@smartitframe.com Smart IT Frame LLC.