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Job Description :
What you’ll do:
· Research and implement identification/detection algorithms/signatures for encrypted traffic
· Develop innovative models to improve the cybersecurity solutions of Allot products.
· Develop automation scripts and tools to aid in research and analysis tasks
· Solid competency in statistics, and working knowledge of data mining algorithms including decision trees, probability networks, association rules, clustering, regression, and neural networks
· A motivated and creative problem solver, self-learning & results-oriented.
· Experience with APIs, framework for Neuronal Network (TensorFlow, Torch)
· Good understanding of network architecture and protocols (e.g. SSL, HTTP).
· Experience with Linux environments.
· Experience with one or more general-purpose programming languages including but not limited to C/C++ and Python.
Requirements :
Preferred Experience
Ph.D. in Computer Science, Statistics, Operations Research, or related technical field.
Experience working in Artificial Intelligence, Graph Theory, Natural Language Understanding, Machine Learning, Algorithmic Foundations of Optimization, or Data Mining.
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