We’re looking for a Middle Data Scientist to join our team to develop our core disruptive product—Edgelabs.ai, an AI-powered cybersecurity platform that brings advanced network visibility, early threat detection, and automated incident response in the Edge environment.
If you feel passionate about making the world of networks and edge computing safer, join our team and get the chance to work with the latest innovations and technologies in the field. You’ll be employing the smartest SOTA approaches in DS/ML/RL to detect and prevent threats and strengthen cybersecurity. For security-driven tasks and challenges that will keep you engaged and motivated, read the description below.
— Creation and configuration of testbeds, generation of attacks, data collection.
— Data analysis, data preprocessing, hypothesis testing.
— Develop and implement ML algorithms to detect cyber security threats and anomalies in real-time.
— Testing and validation of algorithms.
— Turn proven useful prototypes into well-documented and production-ready code.
— At least 3 years of experience working with machine learning algorithms.
— Experience working with Deep Learning and PyTorch.
— Deep knowledge of Python and SQL.
— Practical experience in building and training Supervised and Data Clustering models.
— Practical experience in developing tabular data and time series models;
— Good knowledge: git, docker, Linux, bash.
Would be a big plus:
— Practical experience in developing ML algorithms for detecting anomalies and cybersecurity threats.
— Practical knowledge and understanding of Reinforcement Learning in cybersecurity.
— Unique working experience on an Autonomous Cyber AI solution for Edge and IoT environments.
— Professional development in semi-supervised, self-supervised models, anomaly detection, Reinforcement Learning, and Security Patterns Detection and Prevention.
— Participation in the full cycle of product development, having a real opportunity to improve it.
— No legacy code.
— Professional growth in a multicultural and international team.
— Competitive salary.