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CONXAI Hiring Freshers As Deep Learning Engineers- Apply Now

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CONXAI Hiring Freshers As Deep Learning Engineers

About Company:

Passionate about developing cutting-edge AI solutions that will transform the global construction industry? We are building the first NO-CODE AI PLATFORM for the construction industry, with the 3rd generation Explainable AI, that allows users to create complex use cases with zero coding at the frontend and neuro-symbolic AI under the hood. As a part of this platform, we are working on a module that involves the use of neural reasoning.

Job Profile: Deep Learning Engineers – INTERNSHIP

Company Name: CONXAI


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Work Location: Bengaluru, Karnataka, India

Tasks

We are looking for Deep Learning INTERNS to implement state-of-the-art techniques and create new deep learning models. We will provide a unique opportunity to work on the 3rd generation Explainable AI.

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  • You will work on “Deep Learning” tasks, such as Object Detection, Instance Segmentation, Semantic Segmentation, Pose Estimation, Depth Estimation etc.
  • You will support the building of prototypes on real-world data. We will provide the environment and tools through our platform to productionize it. We expect the candidate to have a balance of innovation and application perspectives
  • You will gain experience in more advanced learning methods such as self-supervised learning and one-shot learning

Requirements

  • Pursuing MS / MTech in Deep Learning from a top university
  • Hands-on experience in Computer Vision topics such as Object Detection, Instance Segmentation, Semantic Segmentation, Pose Estimation and Depth Estimation
  • Exceptional coding skills in PyTorch or TensorFlow
  • A good understanding of software design
  • Evidence of being able to code from scratch in GitHub
  • Good writing and speaking skills
  • Team player
  • Fluent English

You will work closely with and learn from the Founder/CTO, Dr. Krishna Sridhar, former Program Head of Autonomous AI (autonomous driving) at Continental AG and who earlier worked as a Post-Doc AI Researcher at a DARPA Project (US Dept. of Defense).

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