A.I. Developer / Machine Learning Engineer

A healthy mix of experience with some of the following tools:

  • Programming languages like Java, Scala, and Python
  • Deep learning platforms such as H20.AI
  • Deep learning libraries
  • Google assistants to implement within AI systems
  • Cloud platforms like Azure or Google Cloud AI
  • IBM Watson AI solutions
  • APIs like OpenGL or PhysX
  • Profiling tools like Perl or Perforce
  • Analytic tools like TensorFlow, Torch, and PyTorch
  • GitHub Copilot: AI-powered code assistant
  • Tabnine: AI-powered code completion tool 
  • Kite: AI-powered code documentation tool
  • Model Zoo: Open-source repository of pre-trained AI models

Work ethic and the ability to develop artificial intelligence software and applications.

All your information will be kept confidential according to EEO guidelines.

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