NetBrain is the market leader disrupting the network automation space. Our ground-breaking automation platform leverages the power of dynamic maps to provide CIOs and network teams with end-to-end network visibility while enabling adaptive automation across the organization’s physical, virtual and software-defined networks. Today, over 1,800 of the world’s largest enterprises and managed services providers leverage NetBrain’s platform to automate network documentation, troubleshooting, and change management.
“NetBrain’s success is due to our people, and over the years, we have been fortunate to attract top talent because of our unique culture and exciting mission to transform the network management industry.” - Lingping Gao, Chairman and Chief Executive Officer of NetBrain
GROW WITH US!
Analyze network data and solve complicated network problems with Machine Learning, Data Mining or Statistical Inference techniques.
Design, document and lead the implementation of software and systems to help ensure optimal implementation of the neural network models, real-time analytics with enterprise data.
Research and build mathematical model for real network problems.
Use supervised learning, unsupervised learning and active and deep learning techniques.
Optimize algorithms and improve scalability and performance of products.
Mentor other data scientists in algorithms, models, tools, and products that make the team more efficient.
Master Degree in Machine Learning, Data Mining, Statistical Inference, Mathematical modeling or similar fields.
Deep understanding of Machine learning algorithms.
Deep understanding of statistics and probability.
Proficiency with Python or R.
Experience with deep learning frameworks such as TensorFlow, Keras, Caffee, etc.
Experience with Python machine learning infrastructure (e.g Pandas, NumPy, scikit-learn).
Experience resolve any domain problem use Machine learning technology.
Excellent understanding of algorithms and data structures for optimization.
Have 3 years of experience in Machine Learning field.
Experience with Large-scale computing frameworks such as Spark, Hadoop, etc.