Quantiphi

Machine Learning Engineer

Job description

Apart from being Driven, Energetic and Ambitious, you’ll need the following:

  • Hands-on experience in either python or R Expertise in Natural Language Processing/ Natural Language Understanding or an Intelligent Document Processing solution
  • First-hand experience with deploying and maintaining deep learning systems and services in production at scale
  • Expertise in Tensorflow or PyTorch is a must Good to have experience deploying ML software on Kubernetes
  • Good to have exposure to TensorRT, DeepStream, Transfer learning toolkit and CUDA
  • Can break down projects into actionable tasks
  • Must know how GitLab for release management
  • Passion for working across teams and with stakeholders on all sides of the project
  • Ability to implement a research paper, as well as augment the current solution and communicate it to clients and team
  • Experience in cloud infrastructure like GCP, AWS and Azure, gets brownie points

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