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Deep Learning Developer
You must have encountered various experience Deep Learning Developer jobs in Bangalore. Still, you are Looking for a Deep Learning consultant tirelessly, and if nothing has yet grabbed your attention, then now is the time. As a member of the Pattem Digital team, you will be taking up the role of a Deep Learning Developer.
Want to know in-depth what you would be working on? Go to the service page.
Here you will be in charge of researching, designing, implementing, optimizing, and deploying neural network models that advance the state-of-the-art in deep learning. As the Senior Deep Learning Developer or Deep Learning Developer, you will utilize the latest tools in Computer Vision, Deep Learning, and Speech Recognition to excel in this emerging industry. Pattern Digital brings ample plate opportunities different from the other Deep Learning Developer Jobs in Bangalore.
Need a dose of a visible speck to get a crystal clear picture of the Deep Learning Job description? Peak-a-boo! Take a peek at our video, JD.
Know your work:
Be able to train machine learning and deep learning models on a computing cluster to perform visual recognition tasks that would include segmentation, detection, self-supervised depth estimation, and end-to-end control
Boost the performance of neural networks with multitask learning, large-scale distributed training, Bayesian deep learning, uncertainty estimation, multi-sensor fusion, and architecture search.
Take up virtual machine learning research to build new models or develop new training methods in various technology areas, e.g., deep generative models, Bayesian deep learning, equivariant CNNs, and adversarial learning.
Get the opportunity to explore cutting-edge technologies for our products
Design and develop deep learning algorithms for real-world advertising products
Be a part of creating quick prototypes and proof-of-concepts
As a Deep Learning Developer, I design experiments, perform evaluations, and work around enhancements.
What you need to apply:
Minimum of 3+ years of experience in optimizing neural network performance on specialized products
Strong knowledge of computer architecture, compilers, and neural network performance characteristics
Comfortable with python programming, software development best practices, debugging/profiling
Hands-on experience with at least one of the mainstream deep learning frameworks, such as PyTorch or TensorFlow
Strong command of data structures, algorithms, and the fundamentals of learning theory.
Experience with tensor processing libraries such as NumPy, PyTorch tensors, etc.
Having a background in neural network architecture patterns for computer vision (classification/segmentation/detection), natural language processing, or speech recognition (CNNs, LSTMs, Mask-RCNN, etc.)
Worked on at least one of these fields: Machine learning theory/optimization methods; Model compression/quantization/optimization for embedded devices; Neural Architecture Search/kernel optimization; Computer vision; Audio and speech / NLP; Deep Generative Models (VAE, Normalizing-Flow, ARM, etc.)
A good grasp of data science toolkits such as jupyter lab/notebooks, pandas, bash scripting, and Linux environment
Expert knowledge of algorithms, linear algebra, machine learning, computer systems/architecture, the neural network under the hood
A proven expert in optimizing and analyzing linear algebra routines used in deep learning or otherwise
What you get:
Excellent workplace and colleagues in the IT corridor of Bangalore
Competitive salary at par with the best in the industry
Immense exposure to new technologies
Notice Period & Location :
Number of Positions – 3
Notice Period – 1 Week
Location – Bangalore, Noida
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