Hiring Deep Learning/Computer Vision Engineers
- Tata Elxsi
- 4 - 8 years
- Bengaluru
- 11 months ago
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Job Description
Hiring Deep Learning/Computer Vision Engineers - Tata Elxsi, Bangalore
Skills: Deep Learning, Computer Vision Engineers, AI & ML Technology, FCN, CNN, DNN,
segmentation, detection, speech, NLP, GANs, TensorFlow, KERAS, Tytorch, Matlab, Python,
embedded C/C++, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting, Linux
environment.
Location: Bangalore
Rel Experience: 4 to 7 Years
Qualification: B.E./B.Tech./M.Tech in CS/Electronics
Roles and Responsibilities:
Tata Elxsi brings together a global and diverse team of strategic thinkers, consumer insights experts, award-winning designers, technologists, and digital experts, a network of Design Studios, Innovation Hubs, and Centers of Excellence for Digital technologies.
Discover opportunities to work with great teams to help global brands reimagine their products and services - from strategy, insights, and product and service design to technology integration and interaction design.
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.
If interested, please share the below mentioned details with your updated resume to vc********r@ta******i.co.in / ch******m@ta******i.co.in
Total Exp:
Current CTC:
Expected CTC:
Notice Period:
Job Classification
Industry: IT Services & ConsultingFunctional Area:
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning
Employement Type: Full time
Education
Under Graduation: B.Tech/B.E. in Electronics/Telecommunication, ComputersPost Graduation: M.Tech in Electronics/Telecommunication, Computers
Doctorate: Doctorate Not Required
Contact Details:
Company: Tata Elxsi LtdLocation(s): Bengaluru
Keyskills: Deep Learning Computer Vision Tensorflow Embedded C Cnn Scipy Segmentation DNN MATLAB Numpy Cuda Fcn NLP tytorch Vision System Speech Keras Sensors GANs Python
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