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Keras Jobs in Bangalore (Bengaluru)

Explore top Keras Job opportunities in Bangalore (Bengaluru) for Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.

Machine Learning Engineer

Founded 2014
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Bengaluru (Bangalore)
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1 - 5 years
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Best in industry9 - 18 lacs/annum

Cartisan is a start-up building AI-based software products for automotive & EV companies to better engage with their customers and enhance overall experience of owning / using a car. For building SAAS software supporting cloud, mobile and in-car apps with Machine Learning and AI capabilities, we are hiring experienced Machine Learning Engineers at our Bangalore office What’s on offer – Opportunity to lead development of a global tech product, competitive pay and stock options Requirements: 1)Experience in Deep learning using Convolutional Neural Networks 2)Sound knowledge of Object detection,Semantic segmentation,Instance segmentation(Faster-RCNN,Single shot multibox detector(SSD),Mask RCNN,Mobile-net) 3)Classic Image processing techniques using OpenCV 4)Proficiency in Python 5)Should be comfortable building ML models on various deep learning and machine learning libraries using tensorflow,keras,scikit-learn,Numpy,etc 6)Familiarity with Amazon Web service( Elastic Cloud Compute(EC2),Amazon Sagemaker)

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Sharath Murthy
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Head AI / Senior Computer Vision AI Practitioner

Founded 2017
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Bengaluru (Bangalore)
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7 - 16 years
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Best in industry20 - 50 lacs/annum

Lead a Team of AI/ML enthusiasts who have - Strong grasp on Python and basic understanding of matrix algebra - Understanding of modern deep learning techniques like CNN, Attention, LSTM, etc - Experience with TensorFlow and Keras - Experience with Computer Vision and domain specific tools like opencv -Build a Team of AI Technologists

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Rajan Vohra
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Rajan Vohra
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Computer Vision AI Practitioner

Founded 2017
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Bengaluru (Bangalore), NCR (Delhi | Gurgaon | Noida)
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3 - 7 years
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Best in industry6 - 14 lacs/annum

- Strong grasp on Python and basic understanding of matrix algebra - Understanding of modern deep learning techniques like CNN, Attention, LSTM, etc - Experience with TensorFlow and Keras - Experience with Computer Vision and domain specific tools like opencv

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