senior engineer – artificiai intelligence (deep learning) in bangalore

posted
contact
randstad india
position type
permanent
apply now

posted
location
bangalore, karnataka
function
Information Technology
position type
permanent
experience
4 To 12
reference number
931965
contact
randstad india
apply now

job description

senior engineer – artificiai intelligence (deep learning) in bangalore

?Algorithm development (Classification, segmentation, tracking)
? Develop and integrate algorithms in Tensorflow-Python and Caffe-C++ environments
? Algorithm tuning/analysis:
? Optimize algorithms for optimal execution speed and accuracy and present results
? Data ingestion:
? Develop wrappers to ingest ground truth data from publicly available datasets and proprietary databases
? Backend and infrastructure: ? Work with suppliers to verify dataset annotations and move algorithm development and data processing to the cloud is preferable ? Research deep learning approaches: ? Develop and integrate deep learning algorithms for transfer learning (Simulated<=>Real Data) is preferable


Benefits
?Largest SUV R&D
Compensation benefits
Short Onsite

Client Introduction
?Chinas largest SUV and pickup manufacturer. We were listed on the Hong Kong Stock Exchange in 2003 and the Shanghai Stock Exchange in 2011. By September 30, 2014, our assets had amounted to 54.305billion yuan.

skills

?deep learning, python,C++

qualification

?? Masters degree in computer science, mathematics, electrical engineering, robotics, or other relevant fields with at least 1 years of industry experience
? Bachelors degree in one of these fields with at least 2+ years relevant software experience in industry or academia
? Experience in developing CNNs, RNNs, LSTMs, in a deep learning tool (Keras, Tensorflow, Caffe,Torch,..)
? Programming experience in C++ and Python ? Experience with computer vision tools (OpenCV) and algorithms
? Experience with ROS middleware in Linux, 3D vision (PCL), cloud processing (AWS, Google Cloud, azure)
? Build and configuration management (Cmake, Git, docker,..), GPU optimization.