Posted on:23 Jan 2023 BACK TO SEARCH

Deep Learning Engineer

DataToBiz
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Key Skills

Caffe, Computer Vision (CV), Deep Learning, Keras software library, MxNet, Natural Language Processing (NLP), Python Programming, PyTorch, TensorFlow

Job Description

Key responsibilities:

  • Solving complex data problems using deep learning techniques in computer vision OR Natural Language processing.
  • Deliver production-ready models to deploy in the production system.
  • Meet project requirements and timelines.
  • Identify success metrics and monitor them to ensure high-quality output for the client.
  • Share ideas and learning with the team.

Key Skills:

  • 2+ years working experience with Python programming(Mandatory)
  • Applied experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks etc
  • Machine learning expertise with exposure to one or more frameworks like Tensorflow, Keras, pytorch, Caffe, MXNet etc (Mandatory)
  • Minimum 2 year’s experience in NLP/Computer vision domain to succeed in this role (Mandatory)
  • Exposure to DL Model optimization and transfer learning techniques
  • Exposure to SOTA algorithms in computer vision &/or Natural language processing like faster RCNN,YOLO, GPT, BERT etc for respective domain tasks e.g. Object detection, tracking, classification, text summarization etc
  • Strong verbal and written communication skills applied in communications with the team and client(s)

For any query, kindly write us at careers@datatobiz.com

Company Info.

DataToBiz

DataToBiz is an advanced data analytics & AI consulting firm with the motto of assisting its clients to take data driven decisions rather than intuition. We offer customer analytics, marketing analytics, supply chain analytics, spatial analytics & computer vision analytics services to connect business to the data.

  • Industry
    Information Technology,Artificial intelligence
  • No. of Employees
    39
  • Location
    Chandigarh, India
  • Website
    https://www.datatobiz.com
  • Jobs Posted

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