What are the responsibilities and job description for the Artificial Intelligence Engineer position at K&K Global Talent Solutions INC.?
K&K Global Talent Solutions Inc. is an international recruiting agency that has been providing technical resources in the Canada and the USA region since 1993.
This position is with one of our clients in USA, who is actively hiring candidates to expand their teams.
Fulltime Only
EXP: 8 only
Location:Cary, North Carolina OR Carrollton, TX OR Los Angeles, CA
Job Description
AI ML Data Scientist
Must Have Technical/Functional Skills
-Machine Learning techniques
• Unsupervised - K-means Clustering, PCA - Dimension Reduction, Kernel Density Estimations.
• Supervised - Regression, Decision Trees, Random forest, XG Boost algorithm,
• Time series - Exponential models, Holt-Winters, ETS, Hybrid,
• ARIMA & GARCH.
-Deep Learning
• Neural Network, Recurrent Neural Networks,
-Database
• SQL, Advance SQL, Oracle, NoSQL
-Data Science Languages
• SAS, SAS Enterprise Miner, R Programming,
• Python, Spark.
Statistical & Data Management Packages
• Python - Pandas, Numpy, sklearn, PyOdbc
• R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc
-Visualization
• Tableau, Shiny,ggplot2, dygraphs, matplotlib, seaborn.
-Big Data Technologies
• Spark (Pyspark & SparkR),Hadoop,Yarn.
-PM Tools
• MS Project, MS Visio, TFS, JIRA
-Cloud ,Web frameworks & Virtualization
• Azure, Flask, Docker & Kubernets, Kafka
Roles & Responsibilities
• -Data Scientist with 8 years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services.
• -Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• -Proficiency in implementing Machine learning techniques -Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• - Strong leadership and capacity to work as a team player, as well as excellent communication skills
• - Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking.