Verified Job
Engineering - Architecture
Deep Learning/Computer Vision Engineers
Engineering - Architecture
#746209
Remote / WFH
Tata Elxsi · Bengaluru, Karnataka ·
Job Description
Job description
make the future of 'AM PM AI' a reality.
We are looking for bright and passionate Deep Learning Engineers with experience in
• Experience of developing solutions using AI & ML technology
• Proficient with deep learning algorithms especially towards developing computer vision applications
• Excellent knowledge of FCN, CNN, DNN and sequential neural network architectures.
• Strong experience in using both basic and advanced image processing algorithms for feature engineering
• Ability to read and implement related academic literature and experience in applying state-of-the-art deep learning models to computer vision (e.g. segmentation, detection) or other areas as (speech, NLP, GANs)
• Knowledge on sensors and vision systems, sensor integration and fusion
• Proven expertise in developing and training state-of-the-art algorithms to perform visual recognition tasks, such as segmentation, detection, and classification at scale
• Proven expertise in Integrating deep neural networks and the associated preprocessing and postprocessing code to run efficiently on embedded platforms, including different GPU architectures
• Profound and proven knowledge in tools and programming languages like TensorFlow, KERAS, Tytorch, Matlab, Python; knowledge in embedded C/C++ is an advantage.
• Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment.
• Proficiency with edge computing principles and architecture on commonly used popular platforms
• Experience in different model optimization techniques apart from hyperparameter tuning to reduce memory usage without hindering the performance for deploying on edge devices.
Job Location:- Bangalore
Qualification - B.E, B.Tech, MCA, M.E, M.Tech/M.Sc( Elec)
Job Code - NGBU-03
make the future of 'AM PM AI' a reality.
We are looking for bright and passionate Deep Learning Engineers with experience in
• Experience of developing solutions using AI & ML technology
• Proficient with deep learning algorithms especially towards developing computer vision applications
• Excellent knowledge of FCN, CNN, DNN and sequential neural network architectures.
• Strong experience in using both basic and advanced image processing algorithms for feature engineering
• Ability to read and implement related academic literature and experience in applying state-of-the-art deep learning models to computer vision (e.g. segmentation, detection) or other areas as (speech, NLP, GANs)
• Knowledge on sensors and vision systems, sensor integration and fusion
• Proven expertise in developing and training state-of-the-art algorithms to perform visual recognition tasks, such as segmentation, detection, and classification at scale
• Proven expertise in Integrating deep neural networks and the associated preprocessing and postprocessing code to run efficiently on embedded platforms, including different GPU architectures
• Profound and proven knowledge in tools and programming languages like TensorFlow, KERAS, Tytorch, Matlab, Python; knowledge in embedded C/C++ is an advantage.
• Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment.
• Proficiency with edge computing principles and architecture on commonly used popular platforms
• Experience in different model optimization techniques apart from hyperparameter tuning to reduce memory usage without hindering the performance for deploying on edge devices.
Job Location:- Bangalore
Qualification - B.E, B.Tech, MCA, M.E, M.Tech/M.Sc( Elec)
Job Code - NGBU-03
