Essential Position Responsibilities

Explore, train, and implement challenging state-of-the-art ML/RL algorithms to detect cybersecurity threats and anomalies in real-time.
Test and provide an analytics-based model for Quality Assurance.
Implementation of SOTA approaches
Prototype quickly and implement new ideas with the help of ML and RL.
Convert proven, useful prototypes into well-documented and production-ready code.
Optimize python code base for production models.

Required Skills

At least 5+ years of experience in Machine Learning algorithms research and development.
Proven practical experience in building and training Unsupervised, Semi-Supervised, and Data Clustering models.
Practical experience in developing Tabular Data & Time Series models.
Deep knowledge of statistics and linear algebra.
Engineering background as you’ll be actively using Python.
Ability to quickly prototype and implement new ideas, finding simple and accurate problem solutions with the help of ML and RL algorithms.

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.
Experience in developing solutions IoT & Edge and network security.
Rust, C++.

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