NLP Data Scientist

Your role in our Team:

The position requires mixed skills of researcher and developer. You should be able to:

• analyze the defined problem
• check for best available approaches (checking relevant whitepapers, make data analysis according to CRISP-DM, implementing experiments), improve them and apply.

Necessary Skills:

• 2+ years of commercial experience in Machine Learning and Deep Learning.
• Participation in commercial NLP related projects.
• Strong mathematics background. Good understanding of classical and ML algorithms.
• Bs/Ms Degree in computer science or mathematics.
• Skills to self-education: ready to find the solution to assigned task by yourself

Optional Requirements

• exp. with making publications, patents, conference talks
• participation experience in ML/DL contests (ex.: Kaggle)

Our Mission:

Develop the cybersecurity solutions will be utilized for increasing level of safety for the products which are used by millions of people all over the world.

We provide products for cybersecurity domain with appliance of Natural Language Processing.

Our main direction is oriented on the solving the following problems:

• Named Entity Recognition for the set of specific (pre-defined) entities
• Text Summarization
• Semantic Similarity Detection
• Sentimental Analysis

Our Initiatives:

1. We have AI Reading Club in the company where any engineer who is interested in the domain can participate. In reading club we: analyze the latest whitepapers, news and solutions in the area. Get direct consulting from TOP Ukrainian scientists. Generating ideas, implementing them as Proof of Concepts (PoC).
2. We participate in company's contests and getting possibility to finish PoC winners and integrate them to real products.
3. We write whitepapers and participate in world TOP science conferences.
4. We have our own computational cluster (64 GPU) for implementing the best solutions in shortest terms.
5. We apply our solution to the latest devices and test it with devices which are not even put on the market yet.
6. We participate in Machine Learning contests with a Team of our Colleagues.