Job Location: Bangalore/Bengaluru
About the role:
Looking for an engineer to apply Deep Learning algorithms to implement and improve
perception algorithms related to Autonomous vehicle. The position requires you to work
on full life-cycle of Deep learning development including data collection, feature
engineering, model training and testing. One will have the opportunity to implement
state-of -the-art Deep learning algorithm and apply to real end to end production. You
will be working with the team and team lead on challenging Deep Learning projects to
deliver product quality improvements.
Responsibilities:
• Build new deep learning models for real-time detection and tracking of objects.
• Find new ways to apply deep learning to predict the future behaviour of other road
users
Creatively and collaboratively build new deep learning models that can predict the
future behaviour of other road users in real-time.
• Develop efficient Deep Learning architectures that can run in real-time.
Requirements:
- Languages: Advanced Python, C++.
- Frameworks: TensorRT, Tensorflow,Pytorch,ONNX and Keras.
- Expected to know Multi-processing, Multi-threading, Asyncio etc.
- Experienced with OpenCV, Deep Learning to solve images domain problem.
- Good understanding of Linux and version control (Git, GitHub)
- Familiarity with concepts like Pruning, Quantization, Serialization etc.
- Skilled with software design, development and bug-fixing.
Good to Have:
- Frameworks: Caffee
- OpenCV projects, Deep Learning projects
- Experience with deploying Deep Learning models for real-time applications
- Experience with a wide variety of Deep Learning Models (e.g. LSTM, RNN, CNN,
GAN, etc.)
Benefits:
- Health Insurance
- Employee Stock Options
- Work from Home
- Flexible work hours
- Monthly Team outings and events
- Budget for up-skilling
- Flexible vacation
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