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Software Engineer - Developer Jobs in Coimbatore - Ikval softwares LLP

Software Engineer - Developer

Ikval softwares LLP
experience-icon 0 Years
salary-icon 10000 - 15000 Monthly
qualification-icon BSc, MCA, CA, CS, MSc
Expired

Posted: 22 Nov 18

Job Description

  • ikval softwares LLP develops Machine Learning / Artificial Intelligence solutions for international and national clients. Our solutions have been deployed in Government agencies, within Apps, in Factories, in Finance companies, in Law Firms and Corporates.
  • We are looking for bright, enthusiastic software developers who bring with them curiosity to explore the unknown, capacity to find and create great software solutions, good aptitude and a good knowledge of programming, The job is based in Coimbatore, Tamilnadu. 
  • We have PhDs in Machine Learning and Masters in Computer Science and Software Engineering from reputed institutes working with us. 
  • We provide an ambience that nurtures creativity, foraging, good understanding of requirements and available tools and a perseverance towards perfection

Job Particulars

Education BSc, MCA, CA, CS, MSc
Who can apply Freshers
Hiring Process Written-test, Face to Face Interview
Employment TypeFull Time
Job Id514919
Locality Address
Country India

About Company

ikval softwares LLP is based in Coimbatore. The senior members of the company include PhDs in Machine Learning and in Software Testing, Masters in Software Engineering with over thirteen years of experience. 

We have completed and delivered following Machine Learning applications.:

  • Image Identification in Government documents
  • Natural Language Processing in Childcare reports
  • Intelligent Information retrieval in Banking
  • Cyber security using keystroke dynamics
  • Natural Language Processing of User reviews

We have built a Natural Language Processing engine.

Our ongoing projects are:

  • Natural Language Processing: Analysis of Law firm bills to identify incorrect billing
  • Predictive analytics: Identify loan defaulters, Predict usage of products, Predict machine maintenance requirements
  • Deep Learning: Label vehicle objects in videos
  • Intelligent Assistant for Medical applications

Platforms include:

  • DL4J – Deep Learning tool
  • PYTHON – Machine learning library, scikit-learn,
  • TENSOR FLOW – Keras
  • JAVA – Machine learning library,  WEKA, JMetal
  • HADOOP
  • SPARK

Technologies include:

  • Deep Learning: CNN, LSTM
  • Bayesian probability networks
  • Inductive Decision Trees, Random Forests
  • Classification
  • Regression
  • Prediction
  • Association rule mining

We have prior experience in building:

  • integrated machine learning system,
  • machine learning application to build models of students.
Our ambience encourages creativity, being focussed on high quality deliverables in time, team work, flat organization and open culture
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