A.I. Developer / Machine Learning Engineer

Role Overview

• 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

Requirements

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

Tech Stack

• Azure
• Cloud
• Java
• Perl
• Python
• PyTorch
• Scala
• Tensorflow