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C++ Software Engineer - Machine Learning Projects - Distributed Systems

 

  • Industry leader and rapdily growing team

  • Excellent opportunity to work on the design of machine learning code

  • Safe and secure permanent role
  • C++ Software Engineer - Machine Learning Projects - Large Scale Distributed Systems - Sydney

     

    • Small team environment and opportunity to join a rapidly growing team
    • Safe and secure permanent role
    • Stock options and employee incentives
    • Work on the latest designs of machine learning algorithms

     

    The client is a successful software consultancy based in Sydney (client is based 10 minutes from the CBD). With a number of long term contracts that have been recently secured, the client has a requirement for a C++ software engineer to work on advanced client/server based distributed systems. Such applications include working with advanced file systems, large scale distributed systems, design of algorithms and machine learning code.

     

    The software development is done mainly in C++ on Unix/Linux platforms, and prospective software engineers are expected to have an expertise in design of algorithms (although not necessary specific experience in the design of machine learning algorithms will be highly desirable). Aside from just pure software development, other responsibilities extend to working with advanced client/server architectures and network programming.

     

    Technical skills:

     

    • Bachelor degree in Engineering ????? ????? Science
    • C++ programming skills
    • Strong interest in software development for Linux and UNIX platforms
    • Algorithm design
    • Experience with network protocols and client/server architectures
    • Some understanding of machine learning algorithms will be useful
    • 5+ years of formal software engineering ????? ?????

     

    To apply for this C++ Software Engineering ????? ?????, please BOTH forward your covering ????? ????? resume in MS Word format.

     


    To apply online, please click on the appropriate link below. Alternatively, please contact ????? ????? on (??) ???? ???? quoting Ref No. 0708-47.
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