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Deep Learning Engineer with Python (1209 views)

Santa Clara, CA
January 19, 2021

***** Direct Client Requirement*****                    

Title                          : Deep Learning Engineer with Python

Location                   :Santa Clara ,CA

Rate                          : DOE /If your experience and skills match call us immediately for submission

Duration                   : 12 Months

Interview Type        : Skype or  Phone

Work Status            : Successful applicants must be legally authorized to work in the U.S

Job Type                  : C2C, C2H, W2

Experience              : 5 years

Prefer W2                 : U S C/ G C /H1B Transfer/OPT/CPT/H4 EAD and other US work authorization are accepted

 

Experience with deep learning frameworks (e.g. Tensorflow, Keras, Pytorch)
Proficient with Python and common libaries (Numpy, Pandas, Scikit Learn)
Experience training and fine tuning deep learning models for computer vision tasks such as semantic segmentation and object detection (e.g. DeepLab, YOLO, etc.)
Knowledgeable about general deep learning methodologies, techniques, and architectures in computer vision (e.g. transfer learning, dataset augmentation, residual networks, etc.)
Experience with techniques for exploiting limited training data (e.g. few shot/one shot learning, semi/self supervised learning)

*****Referral Bonus Available: Refer your friends or colleagues, get referral bonus******

Thank

Srinivas/Siva
Srinivas@Sohanit.com/Siva@sohanit.com
PH:402-241-9552/402-241-9606
Apply here or Please send to resumes@sohanit.com

Follow us on LinkedIn and Twitter for daily active requirements

LinkedIn: https://www.linkedin.com/company/sohanit-inc/?viewAsMember=true
Twitter: https://twitter.com/SohanITInc1

Position Keywords: Tensorflow, Keras, Pytorch,Python

Pay Rate: DOE/If your experience and skills match call us immediately for submission

Job Duration: 12 Months

% Travel Required: None

Job Posted by: Consulting Services

Job ID: OOJ - 2706

Work Authorization: Successful applicants must be legally authorized to work in the U.S

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