Preferable knowledge working with IP cameras / GIGE cameras / live data acquisition / data acquisition optimization
Good knowledge of Computer vision algorithms and hands-on experience in Opencv, Machine learning and deep learning for real time video data.
Experience in Industry domain on Computer Vision will be preferable
Ability to drive product class algorithm development including data acquisition, processing and deployment in edge or cloud like AWS or GCP TFX.
Partner closely with product and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs.
Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization.
Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.
Technical Skills Expertise with one of the following DL frameworks; Tensorflow, Keras, Caffe, Pytorch Proficient in OpenCV and image processing stacks.
Knowledge in Machine learning algorithms like regression, SVM, clustering etc.,
Good to have programming skills on python, C/C++
Good to have \xe2\x80\x93 knowledge in containers \xe2\x80\x93 like Dockerization
Good to have \xe2\x80\x93 knowledge in CI/CD pipelines
Domain expertize in one the areas : Automotive or Medical or Industry
Should have experience in Cloud or Edge deployment architectures
Tech savy and willing to work with open-Source Tools
Applying statistical and machine learning techniques, such as, mean-variance, k-means
Required Knowledge, Skills, and Abilities
OpenCV
Keras
TensorFlow
Pytorch
Caffe
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