Cunesoft | Jobs | Software Developer – Nlp/machine Learning/data Science | BigDataKB.com | 27-03-22

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    Job Location: Bangalore/Bengaluru

    Job Description :

    – The individual should be self-motivated, creative and proactive, to work successfully in a fast-paced environment including diverse technologies, lab as well as cloud environments.

    – The individual will work closely with developers, project managers, engineers and other stakeholders throughout the organization.

    – The individual should have several years of experience developing with Microsoft .NET and NLP technology such as OpenNLP, the Standford NLP library, R Studio (or similar platforms), Python or Neural Networks. Knowledge in the area of text mining is a definite plus.

    – Develop and improve the existing data mining and NLP related processes within our Regulatory Data Management platform

    – Develop new ways of improving and transforming the regulatory processes Cunesoft customers are facing with the help of data mining and NLP integration

    – Interact with product management, project management and development teams to develop additional modules and functions within the Cunesoft Cloud Platform

    – Design and create solutions for pre specified modules and functions

    – Use existing tools and techniques to develop and test new and existing work

    – Define, create and execute automated test cases, i.e. unit tests

    – Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution

    Support production deployment of applications and perform – validation testing- during the off-hours maintenance windows

    – Support and fix existing and new identified issues by either customers or internal test teams.

    The individual should have several years of experience developing with Microsoft .NET (#.NET technologies. Skills: C#, #ASP.Net, #Java Script, #JQuery, #Entity Framework, #MVC, #LINQ, #Kendo, #Bootstrap, #Web Api, #Windows Azure Cloud, #SQL Server), Machine Learning, AI, NLP technology such as OpenNLP, the Standford NLP library, R Studio (or similar platforms), Python or Neural Networks. Knowledge in the area of text mining / data mining technologies libraries such as scikit learn, pandas, numpy, etc.

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