

AI ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI ML Engineer in Charlotte, NC, on a contract basis for $52/hour. Key skills include AI, Python, SQL, statistical modeling, and insurance domain knowledge. Experience with Azure or AWS and data visualization tools is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
416
-
ποΈ - Date discovered
August 27, 2025
π - Project duration
Unknown
-
ποΈ - Location type
On-site
-
π - Contract type
W2 Contractor
-
π - Security clearance
Unknown
-
π - Location detailed
Charlotte, NC
-
π§ - 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
Job Title: AI ML Engineer
Contract
Location: Charlotte, NC
Rate- $52 on w2
Primary Skills: AI
Job description
β’ We are seeking a highly analytical and detailoriented 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’ InsuranceReinsurance Domain Knowledge Exposure to actuarial models risk assessment and claims analytics
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 problemsolving and critical thinking abilities
β’ Excellent communication and storytelling skills for nontechnical stakeholders
β’ Collaborative mindset with crossfunctional 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
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 decisionmaking process
Skills
Mandatory Skills : AI/GenAI Research
Best Regards,
Grace Abinezer
Recruitment Consultant | H3 Technologies, LLC
π (859) 287-0731
π§ grace@h3-staffing.com
π www.h3-technologies.com
71 Cavalier Blvd., Suite 208, Florence, KY - 41042
linkedin.com/in/grace-ebenezer-bb66a0251
Job Title: AI ML Engineer
Contract
Location: Charlotte, NC
Rate- $52 on w2
Primary Skills: AI
Job description
β’ We are seeking a highly analytical and detailoriented 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’ InsuranceReinsurance Domain Knowledge Exposure to actuarial models risk assessment and claims analytics
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 problemsolving and critical thinking abilities
β’ Excellent communication and storytelling skills for nontechnical stakeholders
β’ Collaborative mindset with crossfunctional 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
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 decisionmaking process
Skills
Mandatory Skills : AI/GenAI Research
Best Regards,
Grace Abinezer
Recruitment Consultant | H3 Technologies, LLC
π (859) 287-0731
π§ grace@h3-staffing.com
π www.h3-technologies.com
71 Cavalier Blvd., Suite 208, Florence, KY - 41042
linkedin.com/in/grace-ebenezer-bb66a0251