AI/ Deep Learning Software Engineer

London, ON

Our client is an excellent organization, with an incredible work environment, and tremendous benefits. This team is small, and will allow you to contribute, learn and grow in a very solid environment. If you are looking for a place to contribute, grow and learn, this is the place. Get in touch with us ASAP.


Job Summary


Key Job Elements



  • Develop software to integrate with hardware/devices to advance data-fusion capability

  • Create new solutions for deep-learning with all manner of sensors & systems

  • Develop concepts such as manned and un-manned teaming

  • Create structured, well-documented, object-oriented, modern code

  • Strong desire to work within a robust test environment

  • Project build from concept through requirements and design before code is written

  • Code implementation through pragmatic application of loose and strict requirements

  • High level of expertise and/or interest in code repositories, versioning, & coding standards


Qualifications and Skills



  • C++/C#; WPF/XAML; Other languages promoting versatility

  • AI; Deep learning; Data science

  • Architecture, design, implementation, and deployment of software and systems

  • Full SDLC experience

  • Strong experience in Windows

  • Good experience in Linux

  • Relational databases

  • Git and Bitbucket


Preferred Qualifications



  • R programming language

  • Good experience in Linux

  • Real-time systems and OS’s

  • Telematics

  • Vehicle systems

  • Network security

  • Safety Critical systems – (i.e. ISO 26262/MISRA)

  • Cyber security – (i.e. SAE J3061)

  • Agile, V-Model, Atlassian Suite

  • Development experience with Qt, Xamarin Forms, Windows Forms

  • Build Automation


Education



  • Bachelor of Computer Science or Computer Engineering or similar. Candidates with exceptional relevant experience will also be considered.


Benefits



  • Salary : Commensurate with Experience

  • Bonus + Benefits

  • Vacation + Off between Christmas and New Years


Reference ID: 2771bbd4fdee

Date Posted: 02/01/2018

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