Qcom | Jobs | NLP (Natural Language processing), NLG Specialist/Architect | BigDataKB.com | 21-02-22

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Job Location: Bangalore

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary

Desired Skills and Aptitudes

  • Strong theoretical understanding of Natural Language processing (NLP) class of models, model architectures
  • Experience in creating new Neural NLP architectures for different use cases and the use of correct datasets, achieving the desired target accuracy
  • Hands-on experience with NLP and NLG models like BERT, GPT-2, GPT-3, Megatron-LM etcโ€ฆ
  • Forward looking attitude, analyse upcoming trends in NLPs, NLGs
  • Good understanding of NLP, NLG accuracy metrics and quantization techniques like Quantization aware training, fine-tuning etc.
  • Good understanding of various model pruning and compression techniques.
  • Strong in mathematical statistics, probability theory and Linear algebra related to Machine Learning / Deep Neural NWs
  • Background of HW architectures like GPUs, AI accelerators like TPUs will be a plus
  • Strong development skills in C++ / Python
  • Strong hands on expertise in Deep Learning frameworks such as Pytorch and TensorFlow
  • Excellent communication skills (written and verbal) and team player
Desired Skills and Aptitudes

  • Strong theoretical understanding of Natural Language processing (NLP) class of models, model architectures
  • Experience in creating new Neural NLP architectures for different use cases and the use of correct datasets, achieving the desired target accuracy
  • Hands-on experience with NLP and NLG models like BERT, GPT-2, GPT-3, Megatron-LM etcโ€ฆ
  • Forward looking attitude, analyse upcoming trends in NLPs, NLGs
  • Good understanding of NLP, NLG accuracy metrics and quantization techniques like Quantization aware training, fine-tuning etc.
  • Good understanding of various model pruning and compression techniques.
  • Strong in mathematical statistics, probability theory and Linear algebra related to Machine Learning / Deep Neural NWs
  • Background of HW architectures like GPUs, AI accelerators like TPUs will be a plus
  • Strong development skills in C++ / Python
  • Strong hands on expertise in Deep Learning frameworks such as Pytorch and TensorFlow
  • Excellent communication skills (written and verbal) and team player
Minimum Qualifications
Education:

Bachelors – Computer Science, Bachelors – Engineering, Bachelors – Information Systems

Work Experiences:

7+ years of Systems engineering or related work experience.

Certifications:
Skills:
Preferred Qualifications
Education:

Masters – Computer Science, Masters – Engineering, Masters – Information Systems

Work Experiences:

1+ years in a technical leadership role with or without direct reports. ,2+ years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above) ,2+ years supervisory experience. ,3+ years experience with Testing Software such as Bugzilla, LoadRunner, etc. ,3+ years experience working in a large matrixed organization. ,3+ years experience with Database Management Software. ,3+ years experience with Development Environment Software such as Apache Maven, Ruby, etc. ,12+ years Systems Engineering or related work experience.

Certifications:
Skills:
Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to

accommodationsupport
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact

Qualcomm Careers

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