Cunesoft India Private Limited (a Phlexglobal Company) | Jobs | Software Developer – NLP/Python/Machine Learning | BigDataKB.com | 12-02-22

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Job Location: Bangalore/Bengaluru

Software Developer – NLP/Python/Machine Learning

We are looking for a competent and enthusiastic Software Developer to join our Technology team based in Bangalore, India.

This vital role ensures Cunesoft India Pvt Ltd (a Phlexglobal Company) can provide a high-quality end product to internal and external users.

This position requires strong technical and communication skills as well as both independent and team working, including working closely with all other areas of the Software Development team and the rest of the Technology department.

We are currently looking for candidates having 3-8 yrs of relevant experience.

– 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 a minimum of 3+ years of experience developing with Microsoft .NET and NLP technology such as OpenNLP, the Standford NLP library, R Studio (or similar platforms), Python, 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.

Desired Candidate Profile with Required Skills & Experience :

– Minimum 3+ years working experience in NLP, Artificial Intelligence, Machine Learning, Text Mining, Neural Networks

– Strong programming skills using PYTHON

– In-depth experience with OpenNLP, Stanford NLP or related NLP / data mining technologies

– In-depth experience with Python and data libraries such as scikit learn, pandas, numpy, etc.

– Selecting features, building and optimizing classifiers using machine learning techniques

– Excellent understanding of Machine Learning Techniques and Algorithms.

– Must have Data mining / Natural Language Processing experience

– Must have a very good understanding of GIT

– Processing, Cleansing, and verifying the integrity of data

– Develop custom data models and algorithms to apply to data sets.

– Defining validation strategies

– Defining the preprocessing or feature engineering to be done on a given dataset

– Defining data augmentation pipelines

– Training models and tuning their hyperparameters

– Analyzing the errors of the model and designing strategies to overcome them

– Deploying models to production

Added advantages :

– 3+ years experience using Microsoft .NET / C#

– Exposure to ML.Net, AutoML, NimbusML, etc

– Good knowledge of Microsoft Visual Studio is preferred

– Good to have Microsoft SQL Server, preferably Microsoft SQL Azure

– Previous experience in the Life sciences area Other requirements

As part of the Interview process, could you please complete the Titanic project and share the prediction results on Kaggle.com to move forward with interview.

https://www.kaggle.com/c/titanic

Candidates with relevant experience kindly share your updated CV

We are looking for a candidate who can join us immediately or less than 15-30 days

Apply Here

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