Luxoft is a global IT service provider of innovative technology solutions that delivers measurable business outcomes to multinational companies. Its offerings encompass strategic consulting, custom software development services, and digital solution engineering. Luxoft enables companies to compete by leveraging its multi-industry expertise in the financial services, automotive, communications, and healthcare & life sciences sectors. For more information, please visit the website.
Solve difficult architecture and machine learning tasks that coming from the customers
Collaborate with data-science, engineering and customers to build production machine learning models and provisioning systems
Take part in the project delivery onsite
Take role as a stakeholder for the product team
Work on the best practices for delivery
Must5+ years of production Java/JEE experience
1+ years of experience in Workfusion
Hands-on experience with machine learning platforms and related tools is a must
Proficiency in algorithms, data structures and computer science fundamentals
Good knowledge of statistics and probability theorySolid background in machine learning concepts and probability theory
Good knowledge of Regex (regular expressions)
Unit test frameworks, Junit4 and good debugging skills.
Basic knowledge on NLP nomenclature is must.
Good understanding of RESTful web services.
Hands on Maven: Scoping, Versioning, multi-module builds and dependency management is must.
Solid understanding of Java design patterns and OOP
Strong working knowledge of Databases and SQL.
Proficient DevOps Skills and mind-set
Working experience of GiT/SVN version control repositories
Nice to haveHands-on experience with rule-based models
Working familiarity and understanding of tools and libraries such as: Weka, Stanford NLP, Apache UIMA, Apache Mahout, NLP, Tableau, Deep Learning, Tensor Flow, Pytorch, Caffe
- English: Upper-intermediate
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