Mercedes-Benz Research and Development India Private Limited | Hiring | Senior Deep Learning Platform Engineer | BigDataKB.com | 1/11/2022

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Mercedes-Benz Research and Development India Private Limited

Bangalore

Vehicle Dealership

Aufgaben

Job Description
We are bringing the next generation of AI enabled user interaction to Mercedes-Benz cars using deep learning. As a machine learning platform engineer, you will develop platform software related components for one of the most innovative, cutting-edge and technologically advanced product.
You will be responsible for compressing & quantising neural networks, develop tools and methodologies to perform platform specific quantisation with minimal loss in accuracy.
Responsibilities

  • Develop new ideas for machine learning within Pytorch
  • Optimize existing implementations within Pytorch
  • Research & implement distributed learning strategies.
  • Enhance multi-gpu and multi-node capabilities in Pytorch
  • Interface with research team to understand neural network algorithms.
  • Research and develop compression strategies for the target devices.
  • Document work artifacts and ensure alignment with internal development processes.

Desired Skills and Experience

  • Bachelor’s degree in Engineering.
  • Minimum 4 years of relevant work experience, including hands-on development experience in C/C++, CUDA, Pytorch
  • Expert at python programming
  • Experience working on Unix based environment and/or embedded devices.
  • Good understanding of Linux OS
  • Experience on Shell scripting, Makefile
  • Excellent troubleshooting skills to root cause complex issues
  • Strong Data structure Knowledge
  • Strong Debugging & Bug-fixing skills
  • Good Analytical & Problem Solving skills
  • Sound Knowledge on Git and similar agile development practices.
  • Experience on OpenCL, Machine Learning is plus
  • Experience on Software Design, Architecture
  • Experience working with V100 GPUs

Qualifikationen

Educational Qualifications:
Bachelor’s degree in any engineering (preferably computer science, electronics or releated academic courses)

Apply Here

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