Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing.
Must have skills : SAS Analytics
Good to have skills : NA
Minimum 10 year(s) of experience is required
Educational Qualification :

br/>Key Responsibilities : 1 Building end to end predictive models and machine learning algorithms such as clustering, OLS regression, logistics regression, random forest, SVM, artificial neural networks, decision trees, GBM, XGB, etc, 2 Understanding of requirements gathering, design and deployment approaches of banking domain and risk process 3 Need to be able to clearly communicate and present methodology and results br/>Technical Experience : 1 Upto 2-5 years of experience in Risk model development primarily in credit cards 2 Must Have Experience in SAS Enterprise Miner,SAS Enterprise Guide, Base SAS, SAS studio 3 Must Have Experience SAS Data-Step, Functions, Macros, Data Manipulation techniques, import/export, join/append, including processing very large databases 4 Ability to access complex data sources, manipulate data and execute code/queries to provide high quality analysis 5 Good to Have Experience in R, Python, Spark, SQL br/>Professional Attributes : Good in team handling good in verbal and written communication.