Associate Architect – Deep learning

Associate Architect – Deep learning

Skills:

• R, Python, C++
• Statistical / Machine Learning techniques
• Good to have deep learning framework like TensorFlow, Keras, PyTorch
• Excellent presentation and customer interaction skills.

The key role of this profile is to work with customers directly and make them aware of technics available in DL and make best use of NVidia h/w & s/w. This includes installation and configuration of Nvidia DGX-family and different software stack (i.e. TRT/DS/usage of Tensorcore/AMP/NGC/Monitoring tools/Debugging tools/CUDA/other library & SDK/SLURM/Kubernetes). The role also includes few levels of project guidance and working jointly with customer on their journey of adopting right deep learning technics (both Training and Edge/Inferencing stack). Key technical skills which will be evaluated during interview is as follow:

• Well worst with one of the Deep learning framework: TensorFlow/PyTorch/MXNet/Caffe
• Should have done one project using Nvidia h/w and DL framework
• Good knowledge on H/w, OS troubleshooting & Shell scripting
• Well understanding on Hardware and willing to learn Data centre implementation along with Deep learning.
• Excellent in presentation and public speaking
• BE/B.Tech. in Engineering, Mathematics or Computer Science, MS/M. Tech.
• Ready to work directly with customers and available for long/short project related travels.
• CUDA and/or Hadoop knowledge will attract highest priority in selection criteria.

Experience