· Develop Industrial IoT data-driven machine learning models for efficiency analytics and industrial manufacturing predictions
· Use statistical, ML and AI techniques to create scalable IIoT data analysis and mining platforms
· Develop mechanism to search optimal settings for industrial machine learning solutions
· Design ML solutions for automated anomaly and fraud detection, clustering, classification and time series analysis
· Analyzing and understanding historical data for industrial applications
· Development of software to work with constructed model and data in accordance with customer requirements
· Implement and test Data Scientific software modules
· Design and development of big data projects for Industrial IoT systems
· Design of data modeling, complex data structures, data processing, data quality and data lifecycle platforms
· To be an architect of Data Management, BI Systems, Elastic Search, RDBMS and non-RDBMS platforms
· Analyzing and understanding historical data for industrial applications
· Work with Hadoop supported DWH platforms to create scalable IIoT data analysis and mining structures
· Design and development of desktop and web applications with .Net Framework, C#, .Net Core, ASP.NET, MVC, Entity Framework Code First Linq
· Usage of MSSQL Server , T-SQL (SP, Function, View, Index) in various applications
· Web Service (Restful, Soap) development
· Development with HTML, Ajax, Java Script, JQuery, JSon, XMLTFS, SVN etc.
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