CelebAI Technologies Pvt Ltd
CelebAI Technologies Pvt Ltd
Software Engineering Intern/Associate Software Engineer
Educational Qualification: BE/B.Tech/ ME/ M Tech(CS/ECE/IT or equivalent)from 2022 - 2023 Batch. 

Roles and Responsibilities:
  • Hands-on programming for developing and testing various components of Deep learning software stack.
  • Work collaboratively with others to achieve goals.
  • Be a persistent, creative problem solver.
Skill Requirement:
  • Strong in C++/Python software development.
  • Experience in AI/ML/DL. Tensorflow, Pytorch is a plus.
  • Expertise with C++/Python in OpenCL / CUDA.
  • Experience in building and packaging software with Make, CMake, Bazel.
  • GIT and Gerrit knowledge.
  • Automation of GCC, binutils,glibc test framework on linux platforms using Dejangu.
  • Passionate problem solver with ability to write efficient code.
  • Proficient in mathematics.
Job Location - Delhi

Salary Range -  2.5L to 5L package 

Interview Process: 3 Rounds 
  • Online Assessment 
  • Technical Interview Face to Face 
  • HR Discussion 

Apply Now
About Us
CelebAI Technologies Pvt Ltd
CelebAI is a specialised Artificial Intelligence solutions company with 100+ employees across Delhi and Hyderabad. Our advanced training data, benchmarking and testing solutions allow our enterprise and high-tech global customers to create sophisticated and highly intelligent applications across various industries such as Automotive, Retail and large Data Centres. With our deep expertise in AI/ML/DL, our solutions are helping our customers taking their solution to market much more quickly and creating true business value. We take pride in having an amazing team that is obsessed to deliver excellence to our customers through continuous innovation and pro-activeness. Delhi center focusses on developing Deep Learning SDK for AI processor. We are developing various deep learning models such as UNET, RESNET etc. and benchmarking them against the global platforms to ensure us ahead of the market. We are also focussed on extending Deep Learning Operators Library to extend support for multiple market segments.

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