Deep Learning Engineering Jobs in Bangalore - Flux
Job Description
1. Building novel architectures for classifying, detecting, and tracking objects
2. Developing efficient deep learning architectures that can run in real-time
3. Optimizing the stack for deployment on embedded devices
4. Working on the data pipeline, data acquisition, preprocessing, and analysis
Only those candidates can apply who:
1. are available for full time (in-office) internship
2. can start the internship between 3rd Dec'20 and 7th Jan'21
3. are available for duration of 6 months
4. have relevant skills and interests
1. Must know the languages Python and C++
2. Must know the frameworks Tensorflow, TensorRT, Pytorch, ONNX, and Keras
3. Must have a good understanding of Linux and Version Control (Git, GitHub)
4. Must be skilled with software design, development, and bug-fixing
5. Must be experienced with OpenCV and deep learning to solve images domain problem
6. Must have strong mathematical skills and understanding of probabilistic techniques
7. Must have experience handling large data sets efficiently
8. Must have experience with deploying deep learning models for real-time applications on Nvidia platforms
9. Must have a strong understanding of ROS
10. Must be able to coordinate with team members for the development and maintenance of the package
11. Knowledge of the Caffee framework will be an added advantage
12. Experience working with autonomous robots, OpenCV projects, deep learning projects, 3D data, and representations (point clouds, meshes, etc.) and a wide variety of deep learning models (e.g. LSTM, RNN, CNN, GAN, etc.) is good to have
Certificate: Will be provided at the end of the Internship