Machine Learning Engineer

Job ID: 92.D0B

Description:

Why the best and the brightest come to Verint for careers in high tech.

Leader in Cyber security, Open Source Web Intelligence, communication Interception. 

We are a recognized leader in the enterprise and security intelligence markets, and our solutions are used by more than 10,000 government and commercial organizations around the globe, including over 80% of the Fortune 100. 

Verint is a growth company with more than 4,800 dedicated professionals, offices worldwide, and $1.158 billion in revenue for the year ended January 31, 2015.

Blink, a new, exciting, well-funded business unit within Verint, is looking for a talented Machine Learning Engineer to take part in building a unique product.

In this role you will develop and implement machine learning models for classification of IP communications traffic

Responsibilities

- Analysis of IP network captures

- Production of tagged data sets for supervised learning models

- Building and optimizing supervised learning models for the data sets

We give:

• Training program and a unique opportunity to gain experience and a set of skills in the field of Cyber security and web intelligence;

• Opportunity to gain experience in an Agile environment;

• You will be able to set a start of your own professional career;

• You will take part in various international projects;

• You will work in a friendly environment, with flexible working time and motivated colleagues;

• Get experience in working with top customers in the world;

• Work with mixed international teams;

• Fresh fruits, snacks and drinks;

• 25 days paid vacation and work-life balance;

• Tennis table, football table, relax room in the office;

• Additional many social benefits;

• Good remuneration package.

Requirements:

· B.Sc Computer Science or other relevant degrees

· Knowledge in Python

- Experience with packet capture and analysis tools like wireshark

· Knowledge in SSL/TCP/IP network layers

· Experience or Final project/Courses in Machine Learning or Deep learning

· Python machine learning libraries and tools such as: Pandas, Scikit-learn, NumPy – advantage

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